I've moved to BWH as a postdoc. My website has migrated to yk23.github.io
(last updated: Jan 2022)
I am a sixth-year graduate student at MIT pursuing a Ph.D. in Applied Mathematics, currently advised by
Bonnie Berger.
My mathematical interests lie at the intersection of Combinatorics, Statistics and Biology. I am also a Research Trainee at Brigham and Women's Hospital through Gibson Lab, where I work on methods for studying the microbiome.
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.
General
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
Ben Raphael.
Prior to finishing undergrad, I was employed by Orbis Systems in Jersey City, NJ as a programmer from 2009 to 2013.
Research
- Kim Y, (...), Berger B, Gibson TE.ChronoStrain: Time-series strain tracking with uncertainty from shotgun metagenomic sequencing in preparation. [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]
Miscellany
- I was an organizer for the MIT Simple Person's Applied Math Seminar (SPAMS) for 2018 ~ 2019. Graduate students give talks that are roughly thirty-minutes long, zero-pressure and are meant for fun and expository (applied) mathematics to be presented to a curious audience. We've hosted people from various departments, not just mathematics. Please attend or give a talk!
