Here is my resume. Email me at ceff at mit dot edu
Currently into cryptography(specifically federated HE) and general algorithm building. I have been mainly focusing more on research and school as of late. Shoot me an email if you want to connect.
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Distributed Systems
Performance Optimization
Algorithms for Inference
Cryptography
General Algorithms
Advanced NLP
Machine Learning
Probabilistic Systems Analysis
Web Programming
Real Analysis
Group Theory
Abstract Algebra
Cell Biology
Fundamentals of Drug Development
Design Lab
Mobility, Power, and Politics
Metaphysics
EXPERIENCE
CSAIL - Berger Lab: Grad Researcher {January 2021 - Present}
Currently working on multi-party homomorphic encryption system for secure federated Linear Mixed Model computation on GWAS(genomic data) written in Golang
Paper in which I am first author is accepted by RECOMB 2022, a major biotech conference(not arxived yet)
Dyno Therapeutics: Machine Learning Intern {May 2020 - September 2020}
Worked on accurately predicting properties such as packaging, tropism, and transduction, to propose optimal AAV(viral) capsid DNA sequences, and building full scale machine learning infrastructural pipelines
Lead research to discover novel signal in improving packaging ability in AAV genetic sequence optimization
Broad Institute - Regev Lab: Undergraduate Researcher {January 2019 - May 2020}
Working on unsupervised clustering in high dimensional subspaces to improve cluster overlap detection, with deep augmented Bayesian Inference mixture models.
Sparsification and enriching of co-variance matrices with VAEs to produce independence graphs which can detect casual relationships from latent spaces.
The Routing Company(formerly Routable AI): Software Engineer Intern {May 2019 - September 2019}
Algorithmic development and implementation as an integral member of a ride hailing startup, helping reach a pre-seed round of over 1 million through the UFirst Accelerator.
Built MVP for high profile client DiDi - one of the largest transportation companies in China.
Worked extensively with Golang, ReactJS, Kubernetes, Docker, InfluxDB, MongoDB and Microservices.
Broad Institute - Golub Lab: Wet Lab Intern {June 2017 - July 2018}
Worked on drug combination synergy and identifying markers for brain metastases. Had extensive hands on experience with wet lab work, including tissue culture, PCR, and drug data analysis.
PROJECTS
Abelian AI: Co-Founder {November 2019 - Present}
dorm room AI consulting that delivers end to end predictive systems
work on ML system design, full stack integration, as well as business development
Groove: Team Lead {January 2019}
A music suggestion service for friends built during a month long web programming competition.
