Clinical Innovation
Advancing limits of data and medicine.
We are an interdisciplinary research institute dedicated to building intelligent systems that solve complex challenges in computational immunology, epidemiology, and structural biology.
120+
Peer-Reviewed Papers
$4M
Active Grant Funding
Funded by and affiliated with
NIH Grant Partner
Global Health Initiative
CDC Subcontractor
BioCore Network
NIH Grant Partner
Global Health Initiative
CDC Subcontractor
BioCore Network
Core Focus
Research Areas
Our laboratory operates at the intersection of computational engineering and biomedical discovery.
Computational Protein Folding
Using advanced neural networks to map 3D molecular structures and accelerate drug discovery pipelines.
Biomedical Imaging Pipelines
Processing petabytes of high-throughput microscopic imagery in real-time to identify weak cellular anomalies.
Large Scale Epidemiology
Simulating global pathogen spread using massive multi-agent statistical mechanics and spatiotemporal tracking.
Output
Selected Publications
Our most recent peer-reviewed findings published in leading life science and computational journals.
2024
Graph Neural Networks for High-Throughput Ligand Binding Affinity Prediction
Nature Machine Intelligence, Vol 6, Issue 2.
2023
Automated Nucleolar Segmentation using Few-Shot Fluorescent Microscopy Data
IEEE Transactions on Medical Imaging, 42(8), 2410-2421.
2022
Scalable Bayesian Inference for Respiratory Pathogen Transmission Networks
Journal of Computational Biology, 29(4).
People
Principal Investigators & Team
Our multidisciplinary group brings together experts from biological engineering, computer science, and applied mathematics.
Dr. Alena Nova
Director & Lead Computational Biologist
Dr. Marcus Chen
Epidemiologist / Statistician
Sarah Patel, PhD Candidate
Structural Biology
Dr. James Wilson
Bioinformatics Engineer
Open Positions & Collaborations
We are always looking for driven PhD candidates, post-docs, and industry partners to join our mission of computational scientific discovery.
Join the Lab