Andrew Dilanchian

Hi, I'm Andrew.

Research Scientist | Full-Stack Engineer

With a PhD in Cognitive Neuroscience and a Bachelor's in Computer Science, I bridge the gap between research and product.

Say hello·LinkedIn·GitHub·Scholar

Experience

Contract Research Scientist

Current

FSU School of Communication · Feb 2026–Present

  • Built a full-stack NIH-backed digital health platform (Next.js, Supabase, Vercel) for a RCT targeting diet-driven brain health in older adults (n ≈ 200–300).
  • Designed an LLM-based adherence agent with persistent user memory, delivering personalized nudges via chat, SMS, and email.
  • Built an automated evaluation pipeline using synthetic personas to benchmark chatbot response quality across behavioral scenarios.
  • Led qualitative user research (focus groups, interviews) to inform accessibility and age-appropriate UX decisions.
Next.jsTypeScriptSupabaseVercelLLM AgentsUX ResearchQualitative ResearchAccessibilityDigital Health

Co-Founder & Research Lead

Current

Cogmi · Sep 2024–Present

  • Founded a cognitive performance platform; raised $200K, scaled to 700+ users and 6,000+ assessments across consumer, B2B, and government verticals.
  • Designed gamified cognitive micro-assessments (Stroop, N-back, task-switching) preserving psychometric validity while improving engagement.
  • Built event-level behavioral telemetry pipeline (PostHog, Supabase) and an agentic AI system translating cognitive performance signals into plain-language insights.
  • Developed proprietary early-warning burnout detection identifying cognitive decline patterns weeks ahead of traditional self-report measures.
  • Led all user research and pilots across multiple verticals, including early-stage CRADA collaboration with the U.S. Army.
Next.jsTypeScriptPostHogSupabaseVercelAI AgentsPsychometricsBehavioral TelemetryUX ResearchA/B TestingMachine Learning

Associate Research Fellow

Current

U.S. Army Research Institute · Oct 2023–Present

  • Designed and built a rare-target visual search task in Unreal Engine 5 to study human–AI decision-making under operational constraints.
  • Engineered a webcam-based eye-tracking system capturing real-time behavioral and biometric data for cognitive performance analysis.
  • Produced a VR training feasibility review and technical report informing Army adoption decisions.
  • Delivered technical briefings translating mixed-methods findings into actionable recommendations for human–AI teaming initiatives.
Unreal EngineC++PythonEye-TrackingVRHuman FactorsMixed-MethodsComputer VisionUser InterviewsTechnical Writing
Full experience

Personal projects

Eye-Based Fatigue Tracker

PythonOpenCVMediaPipeComputer VisionSignal ProcessingNumPy

Webcam-based fatigue prototype using facial and eye landmarks to estimate blink behavior and eye-closure dynamics under noisy real-world conditions.

Webcam Eye Gaze Predictor

JavaScriptWebGazer.jsUX ResearchData Visualization

Integrated WebGazer.js to estimate on-screen gaze without specialized hardware.

Foxloop Live

TypeScriptNext.jsLLMWhisperRAGWebSockets

Real-time interview support tool that surfaces AI-generated follow-up prompts during live user research sessions.

Forkd

Next.jsTypeScriptSupabaseVercelLLMWhisperComputer VisionWeb Scraping

Recipe management app that imports from TikToks, voice memos, screenshots, URLs, and text — then extracts structured ingredients and steps so you can actually cook from them.

All projects

Publications

25 peer-reviewed publications — 5 journal articles · 8 book chapters · 10 conference papers · 2 theses.

All publications

Education

  • Ph.D., Cognitive Psychology

    Florida State University · 2020 – 2024

  • M.S., Cognitive Psychology

    Florida State University · 2020 – 2023

  • B.A., Computer Science (Honors, Magna Cum Laude)

    Florida State University · 2015 – 2020

  • B.S., Psychology (Honors, Magna Cum Laude)

    Florida State University · 2015 – 2020

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