(last updated: Jan 2023)
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.
I earned my Ph.D. in Applied Mathematics from MIT, under the supervision of Bonnie Berger.
My mathematical interests lie at the intersection of Combinatorics, Statistics and Biology.
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)
I've also worked as a mentor for MIT PRIMES, RSI, Directed Reading Program (DRP) and √Mathroots throughout various semesters.
I received a Bachelor of Science degree in May 2016 from Brown University in Mathematics and Computer Science.
During my time there, I was fortunate enough to be in the company of Professors
Sorin Istrail and
Prior to finishing undergrad, I was employed by Orbis Systems in Jersey City, NJ as a programmer from 2009 to 2013.
for Computational Pathology at
- Kim Y, (...), Berger B, Gibson TE.Strain Tracking with Uncertainty Quantification Submitted. [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]