CV

Education

Sophia Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane. (2024).
“Beyond Euclid: An illustrated guide to modern machine learning with geometric, topological, and algebraic structures” Machine Learning: Science and Technology (to appear) [link]
Brian Yu, Hansen Lillemark, Kurt Keutzer, (2023).
“Simple and Effective Input Reformulations for Translation.” Empirical Methods in Natural Language Processing. [link]
Christian Shewmake, Domas Buracas, Hansen Lillemark, Jinho Shin, Erik Bekkers, Nina Miolane, Bruno Olshausen, (2023).
“Visual Scene Representation with Hierarchical Equivariant Sparse Coding.” NeurIPS Workshop on Symmetry and Geometry in Neural Representations. [link]

University of California, San Diego (Sep 2024 -)
PhD Student
- Studying memory and conditional generative distributions. Advised by Prof. Zhiting Hu.
New Theory AI (Apr 2024 - Aug 2024)
Founding Research Scientist
- World modeling physics simulations via hierarchical graph message passing neural networks
Bruno Olshausen Lab, Redwood Center for Theoretical Neuroscience (Jan 2023 - Apr 2024)
Machine Learning Researcher
- Designed novel geometric deep learning computer vision architectures with structured latent representations
- Studied properties enabling mathematical guarantees for out of distribution generalization and efficiency
Kurt Keutzer Lab, Berkeley AI Research (Jan 2023 - Jun 2023)
Machine Learning Researcher
- Invented cognition-inspired finetuning schemas for low resource language machine translation
- Experimented with Transformer variants with non-parametric long-term memory joint training regime
- Researched and designed retrieval augmented LLMs with graph structure for non-semantic information retrieval
Symbolic Software Solutions (Oct 2021 - Dec 2022)
Co-founder, CTO
- Designed, implemented, and launched a DeFi (Decentralized Finance, financial products on the blockchain) lending platform with novel capital efficiency mechanisms
- Raised seed round at $75M valuation
- Recruited and managed 12 engineers

Medical Technology at Berkeley (Sep 2019 - May 2022)
President
- Founded new member education program, created curriculum teaching new members CS/bioinformatics skills
- Led recruitment and mentorship, increasing club size from 10 to 25
- Led outreach to establish 5 new projects with Stanford labs, local startups, and UCSF labs
Emerge Learning (Jan 2020 - Dec 2021)
Project Lead
- Created quiz game website for Stanford Emergency Health, used by hundreds of EMTs in India
- Developed integration with training module for COVID-19 procedures