Harvey Mudd College • Claremont, CA • GPA: 3.98
Bachelor of Science, Joint Program in Computer Science and Mathematics
Graduated May 2018 with High Distinction and Honors in Computer Science, Mathematics, and Humanities
Honors and Awards
- NeurIPS Top 10% Reviewer (2020)
- Computing Research Association Outstanding Undergraduate Researcher - Runner-up (2018)
- Greever Clinic Award (Senior Capstone Project) (2018)
- Barry Goldwater Scholar (2017)
- Stavros Busenberg Prize for Outstanding Promise in Applied Mathematics (2017)
- Robert James Prize for Outstanding Performance in Mathematics (2015)
- Harvey S. Mudd Merit Award (2014-2018)
- National Merit Scholar (2014)
Learning graph structure with a finite-state automaton layer
Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow
Latent Gaussian Activity Propagation: Using smoothness and structure to separate and localize sounds in large noisy environments
Daniel D. Johnson, Daniel Gorelik, Ross E. Mawhorter, Kyle Suver, Weiqing Gu, Steven Xing, Cody Gabriel, Peter Sankhagowit
Learning graphical state transitions
Daniel D. Johnson
Learning to create jazz melodies using a product of experts
Daniel D. Johnson, Robert M. Keller, Nicholas Weintraut
Generating polyphonic music with tied-parallel networks
Daniel D. Johnson
Geometric realizations of the 3D associahedron (multimedia exposition)
Satyan L. Devadoss, Daniel D. Johnson, Justin Lee, Jackson Warley
LEG processor for education
Maxwell Waugaman, Zakkai Davidson, Samuel Dietrich, Daniel Johnson, Cassandra Meyer, Eric Storm, Avi Thaker, Ivan Wong
AI Resident • Google Brain team
Google Research • Montréal, QC, Canada
Oct 2019 - presentDoing research at the intersection of programming languages and machine learning.
Software Engineer • Perception
Cruise Automation • San Francisco, CA, USA
Full time: July 2018 - Sept 2019
Intern: May 2017 - Aug 2017Developed machine learning models for self-driving cars.
Math and CS Grader and Tutor
Harvey Mudd College • Claremont, CA, USA
Aug 2015 - May 2018Grader and tutor for Data Structures, Computability and Logic, Neural Networks, Discrete Mathematics, and HMC core math classes.
Software Engineering Intern
Pure Storage • Mountain View, CA, USA
May 2015 - Aug 2015Wrote wrappers to manipulate C++ objects in existing codebase from Python. Extended internal Linux kernel testing framework using these wrappers to enable more direct tests and allow tests to run in multiple configurations.
Prof. Ron Frostig, Ph.D. • University of California, Irvine, CA, USA
Summer 2012, 2013Developed tools in MATLAB to quantify neuronal density and generate montages of microscope sections. Increased efficiency of research, saving approximately 2000 hours of work.