About

Hello! I am Myson Burch. I love using my skills and knowledge to make an impact in my community. I do that by training to become a data scientist, working in interdisciplinary settings such as life sciences, being a teacher and mentor, and being an advocate for URMs. Currently, I am a research fellow at Purdue University and an intern at IBM Research. I was born in Rochester, NY and raised in Indianapolis, IN (shoutout Naptown!). I am an avid gamer, anime/manga enthusiast, boxing aficionado, tech fanatic and a hopeless American football fan.

Basic Information
Email:
mysonburch@gmail.com mcburch@purdue.edu
Phone:
+1-317-797-5663
Address:
Indianapolis, IN, U.S.A
Language:
English, Spanish (Limited Working Proficiency)
Professional Skills
Python
85%
R
75%
Java
80%
C/C++
70%
Julia
75%
Matlab
75%
SQL
65%
SAS
65%
Work Experience

August 2017 - Present

Purdue University
Research Fellow & Teaching Assistant

Develop innovative techniques at the intersection of technology and life sciences using biobank scale data from GWAS studies and machine learning as an effort to better understand human health and disease.

Collaborate with an interdisciplinary lab to engineer technical solutions and analysis for complex quantitative genomics problems that contribute to precision medicine and advance the healthcare industry.

Teach 400+ undergraduates and aid in developing their programming, statistics, and analytical skills. Demonstrated written, communication and conflict resolution skills as an instructor.

May 2022 - August 2022

IBM Research
Computational Genomics Intern

Contribute to IBM's goal of inventing things that matter to the world by pioneering the most promising and disruptive technologies that will transform industries and society, including the Future of Health.

Address high dimensional genomics-related questions through mathematical modeling, statistical methodologies, combinatorics and scalable algorithms.

May 2021 - August 2021

Cummins Analytics & AI
Data Science Intern

Contribute to the company's ability to perform real time condition monitoring, enable process improvement, and maintain machine health using deep learning, big data analytics, computer vision and NLP methods.

Design strategic tools, prototypes, and software to mitigate costs of reactive repairs, repetitive inspections, and unscheduled issues in manufacturing and product development using a proactive monitoring system. Implement solutions and communicate feedback to key stakeholders during regulatory meetings.

Education

2017 - Present

PhD
PhD in Computer Science

Purdue University

2013 - 2017

Bachelor's Degree
Bachelor of Computer Science

Indiana University - Purdue University of Indianapolis (IUPUI)

2013 - 2017

Bachelor's Degree
Bachelor of Applied Mathematics

Indiana University - Purdue University of Indianapolis (IUPUI)

Publications

2016 - Present

Research

M. Burch et al., MaSk-LMM: a matrix sketching-based fast and scalable linear mixed model for association studies in large biobanks, ASHG (2022), under review (2022)

M. Burch et al., Predicting complex disorders by combining comorbidity data and polygenic risk scores, ISMB (2022), RCHE Summit (2022), under review (2022)

A. Bose, M. Burch et al., CluStrat: a structure informed clustering strategy for population stratification, RECOMB (2020), under review (2022)

P. Jain, M. Burch et al., Polygenic risk scores based on European GWAS correlate to disease prevalence differences around the world, under review, 2022

T. Adeoye, M. Burch et al., Mentoring Black Teens During National Pandemics: Mutually Beneficial Service, PJSL and International Engagement, 2021

J. Arciero, M. Burch et al., Assessing the hemodynamic contribution of capillaries, arterioles, and collateral arteries to vascular adaptations in arterial insufficiency, Microcirculation, 2020

E. Zhao, M. Burch et al., Modeling Acute Blood Flow Responses to a Major Arterial Occlusion, Microcirculation, 2020

Contact Me

Address

Indianapolis, IN, U.S.A

Phone

+1-317-797-5663

Email

mysonburch@gmail.com mcburch@purdue.edu