AI Researcher &
Computer Scientist
AI research · Machine intelligence · Technical strategy
I am an AI researcher at Stanford Medicine and a Computer Science master's student at ETH Zürich. I build machine learning systems across medical AI, agentic research, and real-world deployment—with experience at Stanford, UC Berkeley, and QuantumBlack.
Tools and methods
Medical AI · Wearable time-series · Agentic systems · Computer vision
Deep learning · U-Nets · LLM agents · Benchmarking and evaluation
Python · TensorFlow · scikit-learn · pandas · NumPy · SQL · Linux
Selected technical work
My current Stanford research explores machine learning for wearable health and physiological time-series. SensorTSLM is related work from the lab, provided here as context for the broader research direction; it is not a project or paper I coauthored.
Related lab work: SensorTSLMBuilt an LLM agent harness that searches proof strategies, structures lemmas, and reasons across long mathematical arguments. The system contributed to work on an open SGD theorem; the proof and repository remain private while the paper is being prepared.
Built and trained a custom U-Net pipeline to segment mitral valves across echocardiographic video. The project combined expert and non-expert annotations, targeted augmentation, two-stage training, and IoU-based evaluation to produce frame-level predictions on unseen clinical sequences.
Research and industry
Stanford Medicine · Stanford Mussallem Center for Biodesign
Conducting AI research at Stanford Medicine and developing my master's thesis. Coauthoring multiple papers with researchers across the lab and collaborators at Google Research, while contributing research code and improvements to open-source projects.
QuantumBlack, AI by McKinsey
Helping clients translate consequential business problems into effective AI solutions. Combining technical implementation and analytical depth with client-facing strategy at McKinsey's specialist AI arm.
Ludwig Maximilian University of Munich
Led tutorials and exercise sessions in Calculus, Algorithms and Data Structures, Database Systems, and Theoretical Computer Science. Supported programming and theory assignments, graded coursework and exams, and taught in courses serving up to 800 students.
An international academic path
Research & Master's Thesis · Computer Science
AI research at Stanford Medicine, connecting rigorous machine learning research with high-impact healthcare applications.
Graduate Exchange · Computer Science
Graduate study in Computer Science with a 4.0/4.0 academic record.
M.Sc. Computer Science · Machine Intelligence
Advanced study in machine learning, data science, mathematical foundations, and intelligent systems.
B.Sc. Computer Science · Minor in Business Administration
Bachelor's research focused on a novel unsupervised learning algorithm for high-dimensional anomaly detection.
Let's build something substantial
I am always interested in ambitious AI research, technically demanding projects, and conversations with people working on problems that matter.
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