Bioengineer × ML researcher

AnirudhanKrishnan.

I work where molecules meet models—building intelligent systems for biology, medicine, and the beautifully messy data between them.

AI systemsMolecular dynamicsOncology
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01 / About

Curious by nature.
Rigorous by training.

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.

CurrentlyGoogle Gemini Team
Based inChennai / Remote
Next chapterHeidelberg, 2026
02 / Experience

From the bench
to the model.

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.

AI & Oncology Strategy Intern

Sarcoma Oncology Center · California

Analyzing FDA pathways, driving clinical AI integration, and building multipurpose agents that streamline operations.

AI Pipelines & Backend Systems

MetFlux Research Private Limited

Streamlined multimodal clinical-data pipelines and built backend APIs for better scalability and error handling.

Fertility Diagnostics Intern

Inito · YC W19

Cut lateral-flow assay runtimes by 50% while preserving signal clarity through chemistry and material optimization.

Translational Biology Intern

Aurigene Oncology Limited

Ran mammalian cell culture and in-vitro assays to evaluate drug response and support oncology discovery programs.

03 / Selected focus

Problems worth
obsessing over.

01 / MODEL INTELLIGENCE

Finding where AI fails

End-to-end experiments that turn failure modes into signals—and signals into better systems.

02 / CLINICAL AI

Agents for medicine

Thoughtful automation for clinical operations, oncology strategy, and regulatory workflows.

03 / DIAGNOSTICS

Faster answers

Optimizing assay chemistry and materials to make diagnostics quicker without losing clarity.

04 / MOLECULAR SYSTEMS

Simulating the invisible

Computational tools for dynamics, docking, structure, and the molecular interactions beneath biology.

04 / Education

Built on
first principles.

Incoming · Winter 2026

Heidelberg University

M.Sc. Molecular Systems Science and Engineering (MSSE)

2022 — 2026 · CGPA 8.3/10

IIT Roorkee

B.Tech in Biosciences and Bioengineering · Top 5 in department

A little signal in the noise.Top 0.1% nationally in CBSE Mathematics
98th percentile · JEE
05 / Toolkit

Methods, machines
& molecules.

PythonPyTorchScikit-learnLangChainSQLC / C++RMATLABLinuxGROMACSAutoDock VinaPyMOLMM-PBSAHADDOCKBLASTPCRELISAWestern BlotLFA DevelopmentSELEX