CV
Work Experience
Machine Learning Scientist, Somite.ai
(Boston, MA)
Sep. ‘24 – Present
- Orchestrated large-scale distributed training and published papers working on multimodal foundational models for life sciences.
Research Experience
Visiting Researcher, Harvard University
(PI: Prof. Stephanie Gil)
Apr. ‘24 – Sep. ‘24
- Investigated techniques for performing sub-quadratic attention in long-context time series transformer-based modeling.
Undergraduate Researcher, Caltech
(PI: Prof. Aaron Ames)
Jun. ‘23 – Aug. ‘23
- Designed conditional variational autoencoders and diffusion models for error quantification.
Undergraduate Researcher, Caltech (PI: Prof. Aaron Ames)
Jun. ‘22 – Aug. ‘22
- Sped up a model predictive controller running on robotic hardware by rewriting matrix operations using an optimized C++ library.
Education
MSc Computer Science (Machine Learning), with Distinction, Imperial College London
Sep. ‘23 – Sep. ‘24
- Visiting researcher at Harvard
BEng Mechanical Engineering (Robotics), First Class award, Imperial College London
Oct. ‘20 – Jun. ‘23
- 2 x Caltech Summer Undergraduate Research Fellowship (SURF)
Awards
- Fulbright Scholar, Poland (declined)
Open Source Contributions
Stanford Biomni - General-Purpose Biomedical AI Agent - Autumn ‘25
Main contribution: Implemented state-of-the-art foundational models (ESM-2, Transformer, scGPT, STATE) with standardized interfaces.