https://medium.com/99p-labs/fall-2022-csl-fellows-reflection-bd18960a4436

• Collaborate with medical doctors and research scientists to develop a system to detect extremely rare sperm for infertile patients

• Prepare patient samples, capture fluorescent microscopy training data, train and test a CNN model utilizing Python and Keras, and write up a journal paper in preparation for submission

• Accepted for a conference abstract presentation at the American Urologic Association: Deep Learning-based Automated Sperm Identification for Non-obstructive Azoospermia Patients, ID: 21-7022

• Published in Fertility and Sterility

• Designed and assembled a fully functional deep-sea drill lubrication system

• Performed data analysis to determine fuel cell efficiency and gas generation relationships

• Drafted production drawings in Solidworks for various complex AUV components