Daniel Lee Email & Phone Number

Boston, MA, US

Boston, MA, US

• Developed new statistical techniques and applied machine learning methods to find mutations that cause rare genetic disorders.
• Performed perturbation experiments on NLP models to gain a better understanding of their inner workings.Selected PublicationsSeplyarskiy V*, Koch E*, Lee D* et al. 2023 “A mutation rate model at the basepair resolution.
• Developed the mutation rate model that outperforms all previous methods by using logistic regression based on various genomic and epigenomic features.
• Modified Naglkerke’s R2 to compare the performance of mutation rate models in an interpretable way.Lee, D, and Heimersheim S. 2024. “Investigating Sensitive Directions in GPT-2: An Improved Baseline and Comparative.
• Accepted to NeurIPS 2024 ATTRIB WorkshopLiu A, Lee D, Jalihal A, Hanage W, Springer M. 2023 “Quantitatively assessing early detection strategies for mitigating COVID-19 and future pandemics” Nature CommsConnally N.
• Developed a new statistic using tail of a distribution to estimate negative selection from genomic sequencing data. This method outperforms all previous genome-wide statistics.Other Projects

Skill up on AI safety, covering topics such as mechanistic interpretability, eliciting latent knowledge, learning from human feedback, goal misgeneralization, and scalable oversight.

South San Francisco, CA, US

• Applied multiple sequence alignment among GPCR families, genetic data, and protein features to find promising drug target.

New York, NY, US

• Studied the biophysical interaction among breast cancer cells using the Cellular Potts model in C++.PublicationsTran-Ba K-H, Lee D, Zhu J, Paeng K, Kaufman LJ "Simultaneous Confocal Microscopy and Rheology Probes the.
• Analyzed the fractal dimension of a collagen network to find evidence for Sol-Gel transition.

Doctor Of Philosophy - Phd, Bioinformatics And Integrative Genomics

Bachelor'S Degree, Major In Mathematics-Statistics, Concentration In Chemistry

High School