I am currently the Director of Data Science at Sense Ai. Modern mobile devices are packed with sensors of all sorts, and we are applying cutting edge machine learning approaches to enable understanding their physical context in isolation and in aggregate.
I believe that open source software is a crucial part of open science. I wrote d_code, an analysis package for in vivo Ca Imaging and Electrophysiology analysis. I am also a contributor to a number of open source software projects:
- Thunder - Large-scale image and time series analysis in Apache Spark
- Bolt - Distributed multi-dimensional arrays in Python using Apache Spark
- Folium - Python wrapper for the leaflet.js map library
Previously, I was a postdoctoral fellow in the Department of Neurobiology, working in the lab of Sandeep Robert Datta, and before that I earned my doctorate with Bernardo Sabatini. During my Ph.D., I studied neuromodulation and synaptic calcium signaling in the dendrites and dendritic spines of hippocampal neurons. My projects during my postdoc used in vivo electrophysiological, imaging, and optogenetic approaches to understanding the circuit and cellular properties of the mammalian olfactory system.
More broadly, I am interested in computation (neural and otherwise), mathematical modelling and data visualization, as well as applying cutting edge analytic methods to data of all sorts and domains. This page lists my published scientific papers and side projects.