Bilal Khan
Austin,Texas
Summary
Biomedical AI researcher & technical founder with deep experience building and deploying machine learning systems across medical AI, neuroscience, and large language models, spanning top research labs. Founded and exited an AI startup, published peer-reviewed research, and specialize in computational biomedicine, with a track record of shipping production-grade systems and translating research into real-world impact.
Overview
2
2
years of professional experience
Work History
Co-founder (CEO)
Cognigauge
Austin, TX
07.2025 - 09.2025
- Built and deployed AI-driven cognitive state tracking pipelines using embeddings, RAG, and agentic workflows; scaled to 2,500+ waitlist users and 700k+ impressions prior to exit.
- Sold startup for 5 figures (NDA-Bound).
Computer Vision Researcher
The University Of Texas At Austin
Austin, TX
06.2025 - 09.2025
- Designed and deployed a HIPAA-compliant OpenCV pipeline to automatically anonymize videofluoroscopy recordings used in Parkinson’s Disease research.
- Quantitatively analyzed swallowing biomechanics via temporal annotation of key events (OBM, HB, LVC, UESO) to measure coordination deficits across disease stages.
AI Researcher
University of Texas at Austin
Austin, TX
06.2025 - 09.2025
- Built and optimized multi-animal behavioral tracking pipelines using DeepLabCut and SLEAP, maintaining identity accuracy across complex social-learning experiments in rodents.
- Generated high-resolution motion features for downstream correlation with fear memory, reconsolidation, and social transmission neural data.
Breast Cancer AI Researcher
John Hopkins University (Ekyaalo Diagnostics)
Remote
02.2024 - 03.2025
- Built and curated training data for computer vision models by annotating 4,000+ breast cancer histology images using Roboflow and Landing.ai.
- Mentored junior researchers and supported end-to-end model development for malignancy and tumor cluster detection.
Computational Biology Researcher
University of Pennsylvania
Remote
02.2024 - 09.2024
- Worked with GIANA, a large-scale T-cell receptor (TCR) embedding and clustering platform, identifying disease-specific immune repertoire patterns across cancer and autoimmune datasets.
- Performed geometric embedding analysis and large-scale repertoire comparisons to accelerate immune signature discovery.
Radiomics Researcher
Dartmouth School of Medicine
Remote
05.2024 - 07.2024
- Benchmarked 2,000+ radiomic features using CT-simulated liver lesions with PyRadiomics and 3D Slicer, evaluating reproducibility and feature reliability.
- Applied statistical and clustering analyses to correlate imaging features with ground-truth lesion parameters.
Education
HEALTH & SOCIETY -
The University of Texas At Austin
Austin, Texas05-2028
Skills
- Machine learning
- Data analysis
- Project management
- AI development
- Research methodology
- Statistical modeling
Timeline
Co-founder (CEO)
Cognigauge
07.2025 - 09.2025
Computer Vision Researcher
The University Of Texas At Austin
06.2025 - 09.2025
AI Researcher
University of Texas at Austin
06.2025 - 09.2025
Radiomics Researcher
Dartmouth School of Medicine
05.2024 - 07.2024
Breast Cancer AI Researcher
John Hopkins University (Ekyaalo Diagnostics)
02.2024 - 03.2025
Computational Biology Researcher
University of Pennsylvania
02.2024 - 09.2024
HEALTH & SOCIETY -
The University of Texas At Austin