San Francisco, California, United States
Collaborated with Marketplace Forecasting engineers to build production infrastructure for deep learning models. Consulted for Airports team on creating, training, and productionizing new forecasting models.
Bioinformatics research in imaging analysis and machine learning/deep learning in the Carpenter group at the Broad Institute Developed open-source deep learning based cell detection system Keras R-CNN with Tensorflow/Keras, currently with 400+ stars on Github Created and curated first benchmark dataset of malaria images for comparison of cell detection models Formulated and executed experiments of state of the art computer vision/machine learning models to automatically detect and classify malaria parasites from blood smears Built up computer vision/machine learning functionality in open-source software CellProfiler Analyst Designed CellProfiler software module for Google Accelerated Science
Worked in Amadeo Napoli's knowledge discovery group to implement machine learning methods with python/sci-kit learn to classify molecules useful in pharmacology
Conducted a techno-economic and greenhouse gas analysis of biofuel conversion process
Developed imaging algorithm to analyze microscopy data for process in continuous pharmaceutical drug production Communicated work by presentations and reports for the Head of Pharmaceutical Development