I'm Edmond (he/they), a UCLA Computer Science graduate.
- π½ I am currently a Machine Learning Engineer at Cohere, working out of NYC!
- π¬ I previously interned at Deep 6 AI. Excited to be working on software used by health systems across the nation to find better matching patients for clinical trials. Did you know that developing a drug from end to end can regularly exceed $2 billion? Performing effective clinical trials efficiently and early on can save lots of money and time!
- π¨ββοΈ I do research with the UCLA Department of Medicine under Dr. Zhou and Dr. Korf. My focus is using technology to improve medical reconciliation, which is the process of creating the most accurate list possible of all medications a patient is taking. We've recently secured a grant for our project and are eager to start clinical trials soon!
- π€ I was the Projects Director for UCLA ACM AI @uclaacm. I build deep learning models to tackle challenges on Kaggle. Then, I teach other UCLA students how to understand the theory behind those models and implement them in Pytorch. I built and taught a track that uses sentiment analysis to determine if a Quora question is sincere or not. I've previously taught and developed for the Cassava Leaf Disease Competition as well as the Humpback Whale Identification Competition.
- π± Summer 2022, I interned with Samsung Semiconductors at the Meta Vision Lab. I developed a full-stack mobile app using React-Native and Flask that provided a mobile platform for infectious disease biosensing (imagine being able to take a Covid test and get results using just your phone!). I also wrote image processing scripts in Matlab and Python to improve transparent object detection with convolutional neural networks.
- π οΈ January-May 2022, I also interned part-time with Siemens Digital Industries Software where I wrote a command line tool in batch that saves engineers 30 minutes each time they ran QA tests for NX Cad's JT Inspector Tool. I also improved the integration of third party libraries in NX Cad's C++ source code to increase security and efficiency.