Isaac Gelman


I'm Isaac I grew up in San Diego and moved to Los Angeles to study at USC. I'm currently working on Bravo. I'll be completing a BS + MS in applied math and electrical engineering at USC in May 2022.

I was previously a product engineering consultant and ML intern at Dragonfruit AI. As a product engineer, I helped demo and prototype solutions on top of the existing platform, resulting in signed enterprise contracts. I also worked on the core machine learning team at Dragonfruit, where I helped revamp their core object detection and object tracking platform. I previously completed data engineering internships at Rehinged AI and at Milliman Healthcare Management Consulting. I first learned to program with Java and Wolfram Mathematica in high school as an apprentice with Augment. These first two internships introduced me to scripting in Python and R with a focus on machine learning libraries. I then decided to take Data Structures and Algorithms at USC to supplement my math coursework.

I enjoy studying applied probability theory, algorithms, and emerging technologies.

Fun stuff: teaching myself guitar, skiing ◆◆, rucking, and Muay Thai. I spend much of my time hiking with friends and reading interesting books.

I started this website in December 2020 to learn how to build a website and to share writings, linked below.

Takeaways from Statistical Consequences of Fat Tails, Twitter discussion


Real World Risk Institute Certification (Aug 2020)

University of Southern California (Graduating 2022)
M.S. Electrical Engineering (Focus in Algorithms) GPA 3.9
B.S. Applied and Computational Mathematics GPA 3.9

Interdisciplinary Contest in Modeling: 2nd place in USA
Mathematics Department Outreach Award
SOAR Undergraduate Research Award
Algorithms Research Assistant at Smith Computational Genomics Lab
Project and Curriculum Lead at CAIS++

You can reach me at

I've started compiling some links to interesting documents, videos, and concepts. You can find that here.