Quesify Labs builds high-impact systems across AI, healthcare tooling, and STEM access. Each project is designed for real-world constraints and measurable outcomes.
AI systems and computational research designed for operational constraints and real deployment.
A mobile-first insect identification and safety system focused on differentiating high-risk species from look-alikes. Built for field collection workflows, scalable labeling, and on-device inference pipelines.
Hardik Ghori
M.S. San Jose State University
Tyler Venner
B.S. University of California at Davis
Modeling brain development and function using interpretable, data-driven methods—connecting neural signals, behavior, and clinical outcomes through rigorous computational analysis.
Doreen Sisanalli
M.S. Columbia University
Alexander Radovich
B.S. Colgate University
Huong Da
Gettysburg College (Graduated)
Rimjhim Singh
M.S. Columbia University
Mechanistic and computational study of neurochemical systems—linking enzymes, neurotransmitters, and disease pathways using structured evidence synthesis and model-driven analysis.
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Passive bedside monitoring research to quantify nocturnal perfusion timing stability using dual-site PPG and beat-to-beat timing variability metrics.
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Tools that reduce operational friction and improve communication in high-stakes environments.
Occupation-targeted language training for frontline professionals—built around real workplace scenarios, integrity-checked assessments, and role-specific simulations.
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Hands-on STEM access programs that scale with minimal overhead and strong accountability.
End-to-end classroom kit delivery for biology learning—materials, guidance, compliance workflows, and practical support.
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Short-format, hands-on experiences introducing anatomy, physiology, and clinical reasoning for students who lack lab access.
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Supply recovery and redistribution program: collect unused supplies and route them to students and classrooms that need them most.
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Assistive motion systems and accessibility-first tools designed to reduce friction for real users.
A paired system: motion tracking (MotionBloom) supported by a local control/service layer (TremorGate), enabling real-time thresholds, session control, and deployment across macOS/iOS.
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An accessibility-first browsing assistant that converts dense web content into clear, actionable steps—optimized for comprehension, navigation, and reduced cognitive load.
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