El Cerrito, California, United States
• Used advanced statistics to analyze large electrophysiological datasets including: - Regression Modeling - Information Theory - Dimensionality Reduction and Clustering (Kmeans, PCA, GMM) - Conceptual understanding of machine learning, LLMs, AI • Invented and implemented a system of recording and tracking birds in space - FM wireless backpack mics, recorded with software defined radio - Localized using arrival times of sound pings from a speaker array - Extracted, clustered, and analyzed vocalizations and behavior - Grant and papers in preparation • Oversaw and designed large scale neurophysiological recordings, operant training, and surgical procedures - Resulted in many publications • Mentored and trained successful PhD students who became research scientists at OpenAI and Mosaic LLM (now Databricks)
· Discovered songbirds know and identify many more individuals than previously thought · Localized and quantified this knowledge using microlesions of brain regions · Resulted in multiple neuroscience publications · Contributed code, experiments, and analysis for many electrophysiological studies
· Implemented awake-behaving electrophysiology on zebra finches with real-time feedback of song activity.
· Administered field recordings of wild Common Marmoset vocalizations.