Resume
Academic Achievements
- 1. Worked on the 'grabby aliens' astrobiological model with Robin Hanson.
- 2. Worked on interpolating between linear preprocessing and quantile transformation for tabular ML.
- 3. Worked on confounded domain adaptation.
Research Experience
- 1. Worked on precision medicine at Tempus Labs.
- 2. Worked on robust deep learning for photonic computers at Lightmatter.
- 3. Worked on semantic search at Amazon Alexa.
Education
- During his PhD at the Carnegie Mellon ML Department, he developed graph learning methods for large-scale human genomics and transcriptomics data.
Background
- AI Researcher and Engineer, excited about the prospects for using AI to understand and improve life. Works as a Senior ML Scientist at BigHat Biosciences, solving problems in AI for protein design.
Miscellany
- In his free time, he enjoys working on various scientific and technical problems.