Ben Choi's Personal Website

Uncovering Relationships in Multi-Channel Neural Data with Principal Hessian Directions and Ricci Flow

BJ Choi, M Weber. Research conducted at the Kempner Institute for the Study of Natural and Artificial Intelligence and Harvard SEAS. Completed manuscript pending clearance.

A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG

BJ Choi, G Milsap, C Scholl, F Tenore, M Ogg. Research funded by the U.S. Department of Defense at The Applied Physics Laboratory. Pending clearance to The Journal of Neural Engineering.

Geometric Machine Learning on EEG Signals

BJ Choi. Research conducted at The Kempner Institute. Accepted in Proceedings of Machine Learning Research, 2025. Also presented at NeurReps @ NeurIPS 2024.

Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration

BJ Choi, G Milsap, C Scholl, F Tenore, M Ogg. Research funded by the U.S. Department of Defense at The Applied Physics Laboratory. Accepted at AI4TS @ AAAI 2025.

Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)

BJ Choi. Research conducted at The Kempner Institute. Accepted at CNS 2025, Boston, MA, USA.

A Low-Cost Transhumeral Prosthesis Operated via an ML-Assisted EEG-Head Gesture Control System

BJ Choi, J Liu.  Research conducted at Stony Brook University, funded by the Simons Fellowship. Published in The Journal of Neural Engineering, 2025.

Formal Verification for Human-Robot Interaction in Medical Environments

BJ Choi, J Park, C Park. Research conducted at GWU. Published in Companion Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction.

Il Segreto Divino: Unraveling a 700-year-old mathematical puzzle hidden within the Inferno

BJ Choi. Original interdisciplinary research conducted at Harvard University. In review (late-stage) at The Journal of Humanistic Mathematics, 2025.

Master’s Degree in Computer Science (2025-2026)

Harvard John A. Paulson School of Engineering and Applied Sciences

Graduate-level coursework in high-dimensional information processing & probability theory, advanced algorithms, foundation models, geometric machine learning, human-computer interaction, neural interfaces. GPA: 4.00/4.00.

Bachelor’s Degree in Applied Mathematics (2022-2026)

Harvard College

Winthrop House. (Earned early admission to MS program due to hyper-accelerated coursework.)

Quantitative Research Intern @ D.E. Shaw & Co., L. P. (Summer 2025)

Working at global investment & technology firm as a quantitative analyst & software developer.

AI Researcher @ The Kempner Institute for the Study of Natural and Artificial Intelligence

Invented multiple new algorithms in ML & manifold learning. First author on major projects published in/heading for premier venues. Inaugural KURE research fellow with Prof. Demba Ba. Currently working with Kempner affiliate Prof. Melanie Weber.

ML Researcher @ The Applied Physics Laboratory (APL) for the U.S. Department of Defense

Deployed algorithms I invented while building a novel mind-controlled bionic arm onto major U.S. Department of Defense projects (DTRA & DARPA).

United States Presidential Scholar

Every year, one male and one female student from each U.S. state are honored by the White House as U.S. Presidential Scholars. This distinction is “one of the Nation’s highest honors for high school students.” Scholars are selected from an initial pool of over 3.6 million graduating seniors.

Davidson Fellow Laureate

Won $50,000 grand prize as a Davidson Fellow Laureate. This award is “one of the nation’s most prestigious undergraduate scholarships.”

Regeneron Science Talent Search Finalist

Won $25,000 prize as a Finalist in the Regeneron (formerly Westinghouse/Intel) Science Talent Search. Named one of the Top 40 young scientists in the USA.

Grand Award Winner, Regeneron International Science and Engineering Fair

Placed third internationally (out of over seven million) at Regeneron ISEF for novel brain-controlled prosthetic limb prototype.

Additional

Spent Fall 2024 developing new ML algorithms for NASA. My hobbies include playing the violin, squash, and golf; I won the 2021 Charleston International Violin Competition and the 2023 Virginia Net Amateur Golf Championship. At Harvard, I’ve been involved in a number of extracurricular organizations and spent a year racing with the Harvard Men’s D1 Varsity Crew Team. I currently serve as President of the Harvard Golf Club.