shabweb/index.html at main · shabtastic/shabweb · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Shabnam Hakimi — Researcher & Synthesist</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Cormorant+Garamond:ital,wght@0,300;0,400;0,600;1,300;1,400&family=Space+Mono:ital,wght@0,400;0,700;1,400&family=DM+Sans:ital,wght@0,300;0,400;0,500;1,300;1,400&display=swap" rel="stylesheet">
<link rel="stylesheet" href="style.css">
<style>
a, button, [role="button"] { cursor: none; }
/* Shared tokens are in style.css; these two are index-only. */
:root {
  /* Ink accent (deep blue pen) */
  --accent:    #1a2c6b;
  --serif: 'Cormorant Garamond', Georgia, serif;
}

/* ── CANVAS — deforming grid overlay ── */
#field-canvas {
  position: fixed; inset: 0; z-index: 0; pointer-events: none;
}

/* ── CURSOR ── */
.cursor {
  position: fixed; pointer-events: none; z-index: 9999;
  transform: translate(-50%,-50%) scale(1);
  font-family: var(--mono); font-size: 16px; font-weight: 700;
  color: var(--ink); line-height: 1;
  width: 16px; height: 16px;
  display: flex; align-items: center; justify-content: center;
  transition: transform 0.12s ease, color 0.12s ease;
  will-change: transform;
}

/* nav used to be in this list, but the fixed nav rule right after it always
   won. With the nav rules now in style.css (loaded first), this would beat
   them and un-fix the nav, so it lists only what it actually styles. */
section, footer { position: relative; z-index: 10; }

/* ── HERO ── */
#hero {
  min-height: 100vh;
  display: flex; flex-direction: column; justify-content: flex-end;
  padding: 0 2.5rem 5rem; position: relative;
}

/* Kelly cobalt block behind name */

.hero-coords {
  position: absolute; top: 50%; right: 2.5rem;
  writing-mode: vertical-rl; font-size: 0.46rem;
  letter-spacing: 0.35em; color: var(--ink-faint);
  transform: translateY(-50%); font-family: var(--mono);
}
.hero-eyebrow {
  font-family: var(--mono); font-size: 0.72rem;
  letter-spacing: 0.35em; text-transform: uppercase;
  color: var(--ink-blue); margin-bottom: 1rem;
  opacity: 0; animation: fadeUp 0.9s ease 0.3s forwards;
}
.hero-name {
  font-family: var(--sans);
  font-size: clamp(4.5rem,10vw,9rem); font-weight: 300;
  line-height: 0.88; letter-spacing: -0.02em;
  color: var(--ink); margin-bottom: 0.3em;
  opacity: 0; animation: fadeUp 1s ease 0.5s forwards;
}
.hero-name em { font-style: normal; }
.hero-highlight {
  background: linear-gradient(transparent 40%, rgba(255,255,119,0.75) 40%, rgba(255,255,119,0.75) 67%, transparent 67%);
  -webkit-box-decoration-break: clone;
  box-decoration-break: clone;
  padding: 0 0.05em;
}
.hero-tagline {
  font-family: var(--mono); font-size: 0.8rem;
  color: var(--ink-dim); max-width: 480px;
  margin-bottom: 2.5rem; line-height: 1.9;
  opacity: 0; animation: fadeUp 1s ease 0.8s forwards;
}
.hero-cta {
  display: flex; align-items: center; gap: 1rem;
  opacity: 0; animation: fadeUp 1s ease 1s forwards;
}
.btn-primary {
  font-family: var(--mono); font-size: 0.72rem;
  letter-spacing: 0.2em; text-transform: uppercase;
  color: var(--paper); background: var(--ink-blue);
  padding: 0.75rem 1.6rem; text-decoration: none;
  transition: background 0.25s;
}
/* ink, not paper, on the slate hover: paper on slate is 3.20:1 and fails
   the 4.5:1 text minimum. */
.btn-primary:hover { background: var(--h-slate); color: var(--ink); }
.hero-cta-or {
  font-family: var(--mono); font-size: 0.68rem;
  color: var(--ink-dim);
}
.btn-ghost {
  font-family: var(--mono); font-size: 0.72rem;
  letter-spacing: 0.2em; text-transform: uppercase;
  color: var(--ink-dim); text-decoration: none; transition: color 0.2s;
}
.btn-ghost::after { content: ' ↓'; }
.btn-ghost:hover { color: var(--ink); }

@keyframes fadeUp {
  from { opacity: 0; transform: translateY(20px); }
  to   { opacity: 1; transform: translateY(0); }
}

/* ── SECTIONS ── */
section { padding: 7rem 2.5rem; }

/* Kelly color bar accent per section */
.section-kelly {
  width: 40px; height: 4px; display: block; margin-bottom: 3rem;
}

.section-label {
  font-family: var(--mono); font-size: 0.72rem;
  letter-spacing: 0.38em; text-transform: uppercase;
  color: var(--ink-blue); margin-bottom: 0.6rem;
  display: flex; align-items: center; gap: 1rem;
}
.section-label::before {
  content: ''; display: block; width: 28px; height: 1px; background: currentColor;
}
.section-label > .hl {
  display: inline;
  /* inline + clone, not inline-block: the band is one linear-gradient over
     the element box, so on a label that wraps, inline-block stretched a
     single gradient across BOTH lines and the colour landed in the gap
     between them. Cloning the box decoration gives each line fragment its
     own gradient, i.e. a highlighter stroke per line. */
  -webkit-box-decoration-break: clone;
  box-decoration-break: clone;
  padding: 0 6px;
  margin-left: -6px;
  background-image: linear-gradient(
    transparent 22%,
    rgb(var(--hl-rgb, 26 44 107) / var(--hl-a, 0)) 22%,
    rgb(var(--hl-rgb, 26 44 107) / var(--hl-a, 0)) 92%,
    transparent 92%
  );
}
.section-label.s-slate  { --hl-rgb: 119 119 255; --hl-a: 0.65; }
.section-label.s-helio  { --hl-rgb: 201 119 255; --hl-a: 0.55; }
.section-label.s-violet { --hl-rgb: 255 119 228; --hl-a: 0.55; }
.section-label.s-red    { --hl-rgb: 255 119 146; --hl-a: 0.55; }
.section-label.s-cheese { --hl-rgb: 255 174 119; --hl-a: 0.65; }
.section-label.s-yellow { --hl-rgb: 255 255 119; --hl-a: 0.75; }
.section-label.s-mint   { --hl-rgb: 119 255 228; --hl-a: 0.65; }

#about { background: rgba(244,241,235,0.97); border-top: 1px solid var(--blue-G); }
.about-grid { display: grid; grid-template-columns: 1fr; max-width: 700px; }
.about-text h2 {
  font-family: var(--sans); font-size: clamp(2.2rem,4.5vw,4rem); font-weight: 300;
  line-height: 1.05; margin-bottom: 2rem; color: var(--ink);
}
.about-text h2 em,
.contact-big em {
  font-style: normal;
  color: var(--ink-blue);
  text-decoration: underline;
  text-decoration-color: currentColor;
  text-decoration-thickness: 3px;
  text-underline-offset: 0.07em;
}
.about-text p { font-size: 0.7rem; color: var(--ink-dim); margin-bottom: 1.2rem; line-height: 1.95; }
.about-text ol.about-questions { font-size: 0.7rem; color: var(--ink-dim); line-height: 1.95; margin: 0 0 1.2rem 1.2rem; }
.about-text ol.about-questions li { margin-bottom: 0.4rem; }

/* Flat paper by default — see the media query below, which adds the ruling
   back at desktop widths. Narrow screens show the .research-grid instead of
   the area graph, and that grid's tag chips are outlined boxes with no fill,
   so a grid running behind them made them hard to read. The figures gain
   nothing from the ruling at that size either: the mobile figure is 336 units
   in a ~360px column, so the ruling is not doing the graph-paper job there,
   only adding noise. The paper colour stays opaque at every width — it is
   what masks the fixed #field-canvas contour animation behind this section. */
#research {
  background-color: var(--paper);
  border-top: 1px solid var(--blue-G);
}
.research-grid { display: grid; grid-template-columns: repeat(2,1fr); max-width: 1100px; }
/* Each tile is an <a> into its projects.html section — the same destination
   the area-graph nodes carry at desktop widths. Before this the grid was inert
   divs, so on a phone (where the grid replaces the graph) tapping an area did
   nothing at all. Text styling is inherited rather than link-coloured: the tile
   already reads as a target, and eight blue underlined headings would fight the
   highlighter palette. */
.research-item {
  padding: 2rem; border: 1px solid var(--blue-G);
  display: flex; gap: 1.2rem;
  transition: background 0.2s;
  color: inherit; text-decoration: none;
}
.research-item:focus-visible { outline: 2px solid var(--ink-blue); outline-offset: -2px; }
.research-item:hover { background: rgba(100,160,210,0.04); }
.research-num { font-size: 0.68rem; letter-spacing: 0.2em; color: var(--ink-dim); padding-top: 0.25em; white-space: nowrap; }
.research-content h3 { font-family: var(--sans); font-size: 1.05rem; font-weight: 400; color: var(--ink); margin-bottom: 0.5rem; }
.research-content p { font-size: 0.7rem; color: var(--ink-dim); line-height: 1.85; }
.research-tag { display: inline-block; font-size: 0.68rem; letter-spacing: 0.15em; text-transform: uppercase; color: var(--ink-blue); border: 1px solid rgba(26,44,107,0.2); padding: 0.15rem 0.45rem; margin-top: 0.7rem; margin-right: 0.3rem; }

/* --- research visual (see figures/README.md) ------------------------- */
/* Section copy: title + a subtitle describing the approach figure, then one
   line introducing the area graph. All three are hers, via site-content.md.
   The head block shares the figures' 1040px measure so the title's left edge
   lines up with the drawing rather than with the section padding. */
/* Left edge sits at the section padding, with the APPROACH label directly
   above it and About/Work down the page -- one left edge for the whole site.
   The lead line below keeps the figures' centred measure instead, because its
   job is to introduce the ring it sits on top of. */
.research-head { max-width: 1040px; margin: 0 0 1.4rem; }
.research-title {
  font-family: var(--sans); font-weight: 300;
  font-size: clamp(1.7rem, 2.8vw, 2.4rem); line-height: 1.1;
  color: var(--ink); margin-bottom: 0.75rem;
}
/* 0.8rem, not the 0.7rem the rest of the page's small copy uses: this line
   sets the reading size for the figure below it, whose labels are matched to
   it, and at 0.7rem both were too small to read comfortably. */
.research-sub { font-size: 0.8rem; line-height: 1.9; color: var(--ink-dim); max-width: 720px; }
/* The lead heads the area graph, so it takes the site's next heading level
   after .research-title -- the same rule as .research-content h3, which sets
   the eight area titles in the small-screen grid. */
/* Left edge, not the figures' centred measure: at the ring's edge the line ran
   to x=668 and the top node's card (x 616-824, opening upward) covered its
   tail whenever that node was open. At the section padding it ends by x=508,
   clear of the card, which is what lets the ring sit close beneath it. */
.research-lead {
  font-family: var(--sans); font-size: 1.05rem; font-weight: 400; color: var(--ink);
  max-width: 1040px; margin: 2.2rem auto 0 0;
}
.research-figure, .research-figure-mobile, .research-areas { margin: 0 auto; }
/* v23: wider than the 1040px the SVG is drawn at. Her markup asked for the
   left margin labels to move left and the forecast block to move right, and
   both already sat hard against the canvas edges (x=6 and x=1032) — so the
   only place left to go was outward, by rendering the figure larger. It now
   fills the section's measure, which also lines its left edge up with the
   section title instead of floating centred. Text scales with it. */
.research-figure   { max-width: 1040px; }
.research-areas    { max-width: 1040px; }
/* The area graph reserves 123px of empty canvas above AND below its ring for
   cards to open into. That space read as part of the figure while the SVG
   carried its own paper; without it, it reads as a hole. These negative
   margins pull the ring in so the *ink* sits at a sensible distance, letting
   the reserve overlap the page's own whitespace instead of adding to it. The
   band is transparent, so nothing shows there until a card opens.
   Must come after the `margin: 0 auto` shorthand above, which would otherwise
   reset margin-bottom at equal specificity. */
/* -15px is the clearance threshold, not an aesthetic choice: the top node's
   card is 119px tall and opens upward from a fixed point on the ring, so its
   top edge and the ring's move together. Pull the ring any higher and the open
   card lands on the lead heading (it covered the tail of the sentence at -56).
   The bottom has no such constraint -- the section's own 112px padding gives
   the lowest card somewhere to open into -- so it stays pulled well in. */
/* -60px: the binding constraint is NOT the top node. Cards open radially,
   so the upper-left node's card (Social, Cognitive, & Affective
   Neuroscience) opens up-and-left, straight into the row this lead line
   occupies now that the line is left-aligned. -75 put that card 8px into
   the line's glyphs; -65 is the exact threshold, -60 leaves a margin.
   Checked against all eight cards, not just the one above the ring. */
.research-areas { margin-top: -60px; margin-bottom: -110px; }
.research-figure svg, .research-areas svg, .research-figure-mobile svg {
  display: block; width: 100%; height: auto;
}
/* the mobile figure is drawn for 336px; never let it stretch past that much */
.research-figure-mobile {
  max-width: 420px;
  /* Mounted on its own sheet of graph paper. The section around it is flat at
     this width (the .research-grid's outlined tag chips were unreadable over
     ruling), but the figure still wants the paper it was drawn against — so
     the sheet is scoped to the figure instead of the section. The ruling is
     CSS, not baked into the SVG: at true 16/80px it matches the rest of the
     site, whereas an SVG-internal grid would scale with the drawing. */
  background-color: var(--paper);
  background-image:
    linear-gradient(var(--blue-G) 1px, transparent 1px),
    linear-gradient(90deg, var(--blue-G) 1px, transparent 1px),
    linear-gradient(var(--blue-g) 1px, transparent 1px),
    linear-gradient(90deg, var(--blue-g) 1px, transparent 1px);
  background-size: 80px 80px, 80px 80px, 16px 16px, 16px 16px;
  border: 1px solid var(--blue-G);
  padding: 10px;
}

/* Narrow-first defaults: mobile figure + the original grid. Every width is
   covered by exactly one of these two states — driven off a single query,
   so there is no seam a fractional viewport width could fall through. */
.research-figure { display: none; }
.research-areas { display: none; }
.research-figure-mobile { display: block; }
/* The lead line introduces whichever form the areas take, so it exists twice
   in the markup -- once before .research-areas, once before .research-grid --
   the same duplication the approach figure already uses for its two variants.
   Exactly one is ever displayed, so it is never announced twice. Edit both if
   the copy changes. */
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</head>
<body>

<canvas id="field-canvas"></canvas>


<div class="cursor" id="cursor">+</div>

<nav>
  <a href="index.html" class="nav-logo">
      <span class="nav-logo-hl" id="nav-logo-hl"></span>
      <span class="nav-logo-text">SH</span>
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  <ul class="nav-links" id="nav-links">
    <li><a href="#about">About</a></li>
    <li><a href="#research">Research</a>
      <div class="nav-sub-links"><a href="graph.html">Graph</a><a href="projects.html">Projects</a><a href="cv.html">CV</a></div>
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<section id="hero">
  <div class="hero-coords">MMXXVI</div>
  <p class="hero-eyebrow">Computational Neuroscientist · Human-Centered AI Researcher</p>
  <h1 class="hero-name"><span class="hero-highlight">Shabnam Hakimi</span></h1>
  <p class="hero-tagline">Building neuroscience into human-centered AI systems for creativity and innovation.</p>
  <div class="hero-cta">
    <a href="graph.html" class="btn-primary">Research Knowledge Graph</a>
    <span class="hero-cta-or">or</span>
    <a href="#work" class="btn-ghost">browse the work directly</a>
  </div>

</section>

<section id="about">
  <p class="section-label s-yellow"><span class="hl">About</span></p>
  <div class="about-grid">
    <div class="about-text reveal">
      <h2>Supporting goals and wellbeing <em>in context</em></h2>
      <p>I'm a Senior Research Scientist in Human-Centered AI at the Toyota Research Institute. My research sits at the intersection of behavioral science, neuroscience, and AI, combining theory- and data-driven approaches to investigate how context modulates learning and decision-making. I translate this work to building new technologies that help individuals and organizations meet their goals.</p>
      <p>I'm particularly interested in motivation, flexible self regulation, and precision interventions for behavior change. I use diverse methods including neuroimaging, physiological monitoring, and experience sampling to sample and understand individual experience in context. I develop both novel elicitation methods and computational models, prioritizing diverse sensors and signals that can robustly capture human experience as it evolves over time. By leveraging varied signals and their dynamics across temporal and spatial contexts, my work improves understanding of complex psychological phenomena and identifies new, more precise targets for intervention.</p>
      <p>My current work focuses on two questions:</p>
      <ol class="about-questions">
        <li>Can novel preference elicitation methods be used to improve consumer preference prediction and forecasting, especially for innovative products?</li>
        <li>Can neuroscience be used to guide generative AI and develop more effective interventions to support psychological flexibility and creative decision making?</li>
      </ol>
    </div>
  </div>
</section>

<section id="research">
  <p class="section-label s-red"><span class="hl">Approach</span></p>

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    <h2 class="research-title">Better estimates of internal states for better interventions</h2>
    <p class="research-sub">I use a variety of signals to estimate each individual's internal experience as it evolves over time. By better understanding each individual in context, we can develop more precise, effective interventions to support their goals, values, and wellbeing.</p>
  </div>

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<text x="221" y="227" class="rv22-svgtext" font-size="10.8" fill="#587722">individual experience</text>

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<text x="854" y="129" class="rv22-svgtext" font-size="13.8" font-weight="700" fill="#111118">intervention</text><text x="854" y="144" class="rv22-svgtext" font-size="8.4" fill="rgba(17,17,24,0.7)">a higher likelihood of the</text>
<text x="854" y="156" class="rv22-svgtext" font-size="8.4" fill="rgba(17,17,24,0.7)">desired outcome</text>
<text x="854" y="167" class="rv22-svgtext" font-size="8.4" fill="rgba(17,17,24,0.7)">(internal state and/or behavior)</text>
<text x="905" y="259" class="rv22-svgtext" font-size="9.0" fill="#5A6C9E">without intervention</text>

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<text x="6" y="168" class="rv22-svgtext" font-size="10.8" fill="#a35e1c">observable</text>
<text x="6" y="182" class="rv22-svgtext" font-size="10.8" fill="#a35e1c">behavior</text>
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<text x="6" y="240" class="rv22-svgtext" font-size="9.0" fill="rgba(17,17,24,0.6)">(that we can&#39;t directly see)</text>
<text x="70" y="318" class="rv22-svgtext" font-size="9.0" fill="#1a2c6b">our best guess at the internal state (triangulated from many diverse signals)</text>


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<!-- /FIGURE:approach --></div>
  <h3 class="research-lead research-lead-wide">This approach spans my multidisciplinary research program:</h3>
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monospace" font-size="11.0" fill="#6262d1" fill-opacity="0.9">▾</text><text class="ag-mark-open" x="578.8" y="179.8" text-anchor="middle" font-family="'Space Mono', monospace" font-size="11.0" fill="#6262d1" fill-opacity="0.9">▴</text></g><g class="ag-card" id="ag-card-0"><a href="projects.html#section-motivation"><path d="M520.0 133.8L520.0 122.8" stroke="#6262d1" stroke-opacity="0.42" stroke-width="1" fill="none"/><rect x="416.4" y="15.0" width="207.3" height="107.8" rx="3" fill="#f5f2ec" fill-opacity="0.96" stroke="rgba(17,17,24,0.180)" stroke-width="0.9"/><rect x="416.4" y="120.3" width="207.3" height="2.5" fill="#6262d1"/><text x="520.0" y="30.0" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">How motivation, reward, and</text><text x="520.0" y="43.4" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">self-control shape learning and</text><text x="520.0" y="56.8" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">choice, with an emphasis on</text><text x="520.0" y="70.2" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">flexible, goal-directed</text><text x="520.0" y="83.6" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">decision making in real-world</text><text x="520.0" y="97.0" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">settings.</text><text class="ag-link" x="520.0" y="114.4" text-anchor="middle" font-family="'Space Mono', monospace" font-size="10.5" fill="#1a2c6b">projects →</text></a></g><g role="button" tabindex="0" aria-expanded="false" aria-controls="ag-card-3"><circle cx="644.5" cy="279.2" r="28.0" fill="rgba(255,119,146,0.620)" stroke="#ae5164" stroke-width="1.8"/><rect 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class="ag-mark-open" x="704.2" y="211.4" text-anchor="middle" font-family="'Space Mono', monospace" font-size="11.0" fill="#ae5164" fill-opacity="0.9">▴</text></g><g class="ag-card" id="ag-card-3"><a href="projects.html#section-intervention"><path d="M758.2 165.4L769.2 154.4" stroke="#ae5164" stroke-opacity="0.42" stroke-width="1" fill="none"/><rect x="732.5" y="33.2" width="194.7" height="121.2" rx="3" fill="#f5f2ec" fill-opacity="0.96" stroke="rgba(17,17,24,0.180)" stroke-width="0.9"/><rect x="732.5" y="33.2" width="2.5" height="121.2" fill="#ae5164"/><text x="738.5" y="48.2" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">Designing, testing, and</text><text x="738.5" y="61.6" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">personalizing behavior-change</text><text x="738.5" y="75.0" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">interventions ranging from</text><text x="738.5" y="88.4" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">improving understanding of</text><text x="738.5" y="101.8" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">health risks to just-in-time</text><text x="738.5" y="115.2" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">support for psychological</text><text x="738.5" y="128.6" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#111118" fill-opacity="0.80">flexibility and creativity.</text><text class="ag-link" x="738.5" y="146.0" text-anchor="start" font-family="'Space Mono', monospace" font-size="10.5" fill="#1a2c6b">projects →</text></a></g><g role="button" tabindex="0" aria-expanded="false" aria-controls="ag-card-2"><circle cx="696.0" 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  <text x="8" y="34" class="rvm-t" font-size="8.5" fill="#b0475f">measurable physiology</text>
<text x="8" y="80" class="rvm-t" font-size="8.5" fill="#a35e1c">observable behavior</text>

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<line x1="90.0" y1="170.0" x2="90.0" y2="154.0" stroke="#587722" stroke-width="1" opacity="0.55"/><circle cx="90.0" cy="150.0" r="1.2" fill="#587722" opacity="0.7"/>
<line x1="175.0" y1="174.5" x2="175.0" y2="158.5" stroke="#587722" stroke-width="1" opacity="0.55"/><circle cx="175.0" cy="154.5" r="1.2" fill="#587722" opacity="0.7"/>
<line x1="212.0" y1="165.2" x2="212.0" y2="149.2" stroke="#587722" stroke-width="1" opacity="0.55"/><circle cx="212.0" cy="145.2" r="1.2" fill="#587722" opacity="0.7"/>
<text x="8.0" y="145.0" class="rvm-t" font-size="8.0" fill="#587722">individual experience</text>

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<path d="M 116.00 155.78 L 116.80 155.92 L 117.60 156.27 L 118.40 156.78 L 119.20 157.42 L 120.00 158.13 L 120.80 158.88 L 121.60 159.64 L 122.40 160.37 L 123.20 161.07 L 124.00 161.71 L 124.80 162.29 L 125.60 162.82 L 126.40 163.30 L 127.20 163.73 L 128.00 164.09 L 128.80 164.39 L 129.60 164.64 L 130.40 164.84 L 131.20 165.00 L 132.00 165.13 L 132.80 165.26 L 133.60 165.38 L 134.40 165.53 L 135.20 165.70 L 136.00 165.91 L 136.80 166.16 L 137.60 166.47 L 138.40 166.83 L 139.20 167.23 L 140.00 167.68 L 140.80 168.15 L 141.60 168.63 L 142.40 169.07 L 143.20 169.47 L 144.00 169.78 L 144.80 170.02 L 145.60 170.15 L 146.40 170.18 L 147.20 170.12 L 148.00 169.98 L 148.80 169.77 L 149.60 169.50 L 150.40 169.20 L 151.20 168.88 L 152.00 168.54 L 152.80 168.18 L 153.60 167.80 L 154.40 167.41 L 155.20 167.02 L 156.00 166.65 L 156.80 166.33" fill="none" stroke="#1a2c6b" stroke-width="2.2" stroke-linejoin="round" stroke-linecap="round"/>
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<path d="M 224.5 159.6 Q 275.0 140.6 320 137.6" fill="none" stroke="#1a2c6b" stroke-width="1.3" stroke-dasharray="3 3" opacity="0.7"/>
<path d="M 224.5 159.6 Q 275.0 168.6 320 169.6" fill="none" stroke="#5A6C9E" stroke-width="1" stroke-dasharray="1.5 3" opacity="0.85"/>
<circle cx="320" cy="137.6" r="5.5" fill="none" stroke="#FFFF77" stroke-width="2.6" opacity="0.9"/><circle cx="320" cy="137.6" r="2.2" fill="#1a2c6b"/>
<text x="228" y="98" class="rvm-t" font-size="10.0" font-weight="700" fill="#111118">intervention</text>
<text x="228" y="110" class="rvm-t" font-size="8.0" fill="rgba(17,17,24,0.7)">a higher likelihood of</text>
<text x="228" y="119" class="rvm-t" font-size="8.0" fill="rgba(17,17,24,0.7)">the desired outcome</text>
<circle cx="320" cy="169.6" r="2.2" fill="none" stroke="rgba(17,17,24,0.4)" stroke-width="1.1"/>
<text x="330" y="182" class="rvm-t" font-size="8.0" fill="#5A6C9E" text-anchor="end">without intervention</text>

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  <g class="rvm-t" fill="#8E24AA" text-anchor="middle" font-weight="700"><text x="168.0" y="211" font-size="8.5">the right intervention for the right person,</text><text x="168.0" y="223" font-size="8.5">in the right context, at the right time</text></g>

  <text x="8" y="241" class="rvm-t" font-size="8.0" fill="rgba(17,17,24,0.6)">a person&#39;s true internal state</text>
<text x="8" y="253" class="rvm-t" font-size="8.0" fill="rgba(17,17,24,0.6)">(that we can&#39;t directly see)</text>
<text x="8" y="265" class="rvm-t" font-size="8.0" fill="#1a2c6b">our best guess at the internal state</text>
<text x="8" y="277" class="rvm-t" font-size="8.0" fill="#1a2c6b">(triangulated from many diverse signals)</text>


  <g fill="none" stroke="#1a2c6b" stroke-width="1.1">
    <path d="M 186.0 291 V 299 H 236.0 V 291"/>
<path d="M 82.5 291 V 308 H 287.9 V 291"/>
<path d="M 8.0 291 V 317 H 320.0 V 291"/>

  </g>
  <g class="rvm-t" fill="#1a2c6b" text-anchor="start">
    <text x="189.0" y="296" font-size="8.0">seconds</text>
<text x="85.5" y="305" font-size="8.0">days</text>
<text x="11.0" y="314" font-size="8.0">years</text>

  </g>
</svg><!-- /FIGURE:approach-mobile --></div>

  <h3 class="research-lead research-lead-narrow">This approach spans my multidisciplinary research program:</h3>
  <div class="research-grid">
    <a class="research-item reveal" href="projects.html#section-motivation">
      <span class="research-num">01</span>
      <div class="research-content">
        <h3>Motivated Learning, Decision Making, &amp; Self Regulation</h3>
        <p>How motivation, reward, and self-control shape learning and choice, with an emphasis on flexible, goal-directed decision making in real-world settings.</p>
        <span class="research-tag">Motivation</span><span class="research-tag">Self regulation</span><span class="research-tag">Decision science</span><span class="research-tag">Neuroimaging</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-intervention">
      <span class="research-num">02</span>
      <div class="research-content">
        <h3>Intervention Science &amp; Applied Behavior Change</h3>
        <p>Designing, testing, and personalizing behavior-change interventions ranging from improving understanding of health risks to just-in-time support for psychological flexibility and creativity.</p>
        <span class="research-tag">Behavior change</span><span class="research-tag">Intervention science</span><span class="research-tag">Causality</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-creativity">
      <span class="research-num">03</span>
      <div class="research-content">
        <h3>Creativity &amp; Design</h3>
        <p>Developing a mechanistic understanding of the <em>process</em> of creative work to promote not only innovation but also sustained creative wellbeing.</p>
        <span class="research-tag">Creative cognition</span><span class="research-tag">Design decision making</span><span class="research-tag">Creativity support tools</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-genai">
      <span class="research-num">04</span>
      <div class="research-content">
        <h3>Psychology-Guided Generative AI</h3>
        <p>Using psychological and neuroscientific theory to direct the underlying machinery of generative AI systems and better align their outputs with human thoughts and actions.</p>
        <span class="research-tag">Human-AI alignment</span><span class="research-tag">Active inference</span><span class="research-tag">Bayesian surprise</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-preference">
      <span class="research-num">05</span>
      <div class="research-content">
        <h3>Preference Elicitation &amp; Prediction</h3>
        <p>Novel elicitation methods and models for understanding individual preferences from psychology, physiology, and behavior that account for context and time.</p>
        <span class="research-tag">Decision science</span><span class="research-tag">Complexity</span><span class="research-tag">Machine learning</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-agent-state">
      <span class="research-num">06</span>
      <div class="research-content">
        <h3>Agent State Inference</h3>
        <p>Improved inference of humans' internal states and simulation of agent preferences to support human-AI teaming during complex tasks like driving.</p>
        <span class="research-tag">Preference learning</span><span class="research-tag">Agentic simulation</span><span class="research-tag">Human-AI teaming</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-consumer">
      <span class="research-num">07</span>
      <div class="research-content">
        <h3>Consumer Psychology &amp; Market Forecasting</h3>
        <p>Leveraging psychographic and behavioral data, along with neural signals, to improve demand forecasting and product adoption, especially for innovative, new products.</p>
        <span class="research-tag">Econometrics</span><span class="research-tag">Demand forecasting</span><span class="research-tag">Neuroforecasting</span>
      </div>
    </a>
    <a class="research-item reveal" href="projects.html#section-social">
      <span class="research-num">08</span>
      <div class="research-content">
        <h3>Social, Cognitive, &amp; Affective Neuroscience</h3>
        <p>Modeling complex interactions between cognition and affect to understand and predict individual behavior in social contexts.</p>
        <span class="research-tag">Social cognition</span><span class="research-tag">Affective processing</span><span class="research-tag">Individual differences</span>
      </div>
    </a>
  </div>
</section>

<section id="work">
  <p class="section-label s-slate"><span class="hl">Recent Publications</span></p>
  <div class="work-list" id="work-list"></div>
</section>


<section id="contact">
  <p class="section-label s-violet"><span class="hl">Contact</span></p>
  <div class="contact-big">Let's <em>connect.</em></div>
  <div class="contact-links">
    <a href="mailto:hello@shabnamhakimi.com" class="contact-link">Email</a>
    <a href="https://scholar.google.com/citations?user=KVRrn40AAAAJ" class="contact-link">Google Scholar</a>
    <a href="https://github.com/shabtastic" class="contact-link">GitHub</a>
    <a href="https://www.linkedin.com/in/shabnam-hakimi-8a85166" class="contact-link">LinkedIn</a>
    <a href="cv-viewer.html" class="contact-link">CV</a>
  </div>
</section>

<footer>
  <p>Shabnam Hakimi, Ph.D. — Researcher & Synthesist</p>
  <p><a href="about-this-site.html">Colophon</a> &nbsp;·&nbsp; MMXXVI</p>
</footer>


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