Jesse Eaton

About

I am a problem solver and a life long learner. I enjoy using powerful technologies like statistics and machine learning to explore the issues I am passionate about: human-machine interaction and disease prevention.

Be brave. Be curious. Be determined.
Overcome the odds. It can be done.
- Steven Hawking

🐆🐈‍⬛ Cat dad of 2

🛶 Love the water

🥤 Hate my liver

M

Meta

San Francisco, CA

2023 to Present

Make Instagram the best destination for creators!
https://www.meta.com
Fn

Freenome

South San Francisco, CA

2019 to 2023

I use powerful techniques from statistics and machine learning to build robust models for detecting cancer in blood at very low tumor fractions. The outcome of this work has the potential to impact millions of people and extend average human lifespans by over a decade.
https://www.freenome.com
Q

Qeexo

Pittsburgh, PA

2018 to 2019

My position as a machine learning research engineer has allowed me to explore machine learning problems with extremely small time and space constraints. Carnegie Mellon professor Chris Harrison has also shown me a correct problem definition is essential to success.
https://www.qeexo.com
CMU

Carnegie Mellon University

Pittsburgh, PA

2016 to 2017

With excellent statistics professors Joel Greenhouse and Larry Wasserman and outstanding research professors Russell Schwartz and Jian Ma, I have explored the space of machine learning and applied this to research in genetics.
https://www.cmu.edu
M

MITRE Corporation

Bedford, MA

2015 to 2016

I designed and developed an electronic medical record validation tool called Cypress. Coding primarily in Go and Ruby, I honed my programming skills and became an organized and efficient coder.
https://www.mitre.org
T

Tufts University

Boston, MA

2011 to 2015

Here I learned biomedical engineering from professors Georgakoudi, Fantini, and Hunter and computer science from spectacular instructors Benjamin Hescott and Lenore Cowen. I learned techniques of biological research and the importance of efficient algorithms for large biological data sets.
https://www.tufts.edu
HB

Hampton Bays High School

Hampton Bays, NY

2008 to 2011

Hampton Bays gave me a superb public school education. My math teacher Mrs. Price and physics teacher Mr. Bauman are two of the best teachers I have encountered and helped establish my strong foundation in mathematics and science.
http://www.hbschools.us

Historically, mathematics and physics have been my two favorite topics. However more recently I have become interested in computer science and using statistics to understand biological problems from data.

Library

Here is my resume.

Resume

Here are my research papers.

Eaton J, Wang J, Schwartz R, et al. Deconvolution and phylogeny inference of structural variations in tumor genomic samples. Bioinformatics 2018; 34:i357–i365
Link to Bioinformatics
Download

Here are my formula sheets.

Math

Multi-variable Calculus

Differential Equations

Physics

Comp Sci

Statistics