(last updated: Apr 2024)
I am currently working as a postdoctoral research fellow at Brigham and Women's Hospital / Harvard Medical School, where I work on problems related to the microbiome.
My mathematical interests lie at the intersection of Combinatorics, Statistics and Biology.
Please note that my MIT email (younhun (at) mit.edu) is outdated.
Contact me at my new BWH e-mail address: ykim78 (at) bwh (dot) harvard (dot) edu for all research/work-related messages.
My CV is available upon request.
My first name (Kor: 김연훈) is pronounced "Young Hoon", without the g. My colleagues simply call me "Youn".
Teaching & Mentorship
- Recitation Instructor, 18.650 (Statistics) - Spring 2020
- Recitation Instructor, 18.600 (Probability) - Fall 2019
- Recitation Instructor, 6.431x (Probability, edX Micromasters Program in Statistics and Data Science)
- TA, 18.6501x (Fundamentals of Statistics, edX Micromasters Program in Statistics and Data Science)
- Grader, 18.404 (Theory of Computation, Prof. Sipser)
- TA, 18.085 (Computational Science and Engineering, Prof. Gil Strang)
- TA, 18.418 (Topics in Computational Bio, Prof. Bonnie Berger)
General
I completed my Ph.D. in Applied Mathematics from MIT in Feb 2023, under the supervision of Bonnie Berger.
Prior to that, I received a Bachelor of Science degree in May 2016 from Brown University in Mathematics and Computer Science and was mentored by
Sorin Istrail and
Ben Raphael.
Prior to finishing undergrad, I was employed by Orbis Systems in Jersey City, NJ as a programmer from 2009 to 2013.
Research
for Computational Pathology at
- Kim Y, (...), Berger B, Gibson TE.Strain Tracking with Uncertainty Quantification Under Review at Nature Microbiology. [Github]
- Gibson TE, Kim Y, Acharya S, DE Kaplan, et al. Intrinsic instability of the dysbiotic microbiome revealed through dynamical systems inference at scale. [bioRxiv]
- Kim Y, Acharya S, Alfonsetti D, Gerber G, Berger B, Gibson T. Strain Tracking from Time-Series Data. (Workshop poster, ICML Compbio 2020)
- Kim Y, Mossel E, Ramnarayan G, Turner P. Efficient Reconstruction of Stochastic Pedigrees. [arxiv]
- Kim Y, Koehler F, Moitra A, Mossel E, Ramnarayan G. How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories. RECOMB 2019, Journal of Computational Biology Special Issue. [arxiv] [journal]
- Leiserson MD, Vandin F, Wu HT, Dobson JR, Eldridge JV, Thomas JL, Papoutsaki A, Kim Y, Niu B, McLellan M, Lawrence MS. Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature genetics 2015. [article]
