Data Science Associate
Google Gemini AI Team · Uber AI Solutions
Building end-to-end data science pipelines, handling agentic ML tasks, and producing insight into model failures.
I work where molecules meet models—building intelligent systems for biology, medicine, and the beautifully messy data between them.
I’m a bioengineer and ML researcher turning complex biological questions into systems we can test, understand, and use.
Currently contributing to large-scale model experiments with Google’s Gemini team. Next stop: Heidelberg University for an M.Sc. in Molecular Systems Science and Engineering, beginning Winter 2026.
Google Gemini AI Team · Uber AI Solutions
Building end-to-end data science pipelines, handling agentic ML tasks, and producing insight into model failures.
Sarcoma Oncology Center · California
Analyzing FDA pathways, driving clinical AI integration, and building multipurpose agents that streamline operations.
MetFlux Research Private Limited
Streamlined multimodal clinical-data pipelines and built backend APIs for better scalability and error handling.
Inito · YC W19
Cut lateral-flow assay runtimes by 50% while preserving signal clarity through chemistry and material optimization.
Aurigene Oncology Limited
Ran mammalian cell culture and in-vitro assays to evaluate drug response and support oncology discovery programs.
End-to-end experiments that turn failure modes into signals—and signals into better systems.
Thoughtful automation for clinical operations, oncology strategy, and regulatory workflows.
Optimizing assay chemistry and materials to make diagnostics quicker without losing clarity.
Computational tools for dynamics, docking, structure, and the molecular interactions beneath biology.
M.Sc. Molecular Systems Science and Engineering (MSSE)
B.Tech in Biosciences and Bioengineering · Top 5 in department