Recent News
November 21, 2021 - Amazon Sustainability Data Initiative Promotional Credits Award
Very happy to report that Amazon has awarded my work on data engineering in Climate and Sustainability with $15,000USD of AWS credits to build scalable solutions to managing our impact on the environment!
Alongside my role at Databricks, I’ve joined the Thayer School of Engineering at Dartmouth College. Starting 2024 with my first class: ENGS: 1508 - AI Demystified
September 9, 2021 - Inaugural Impact Fellows of the MIT Climate and Sustainability Consortium
This September I decided to move my research focus and career towards a vitally important area that I've wanted to work on for many years. I will be an Impact Fellow in the new MIT Climate and Sustainability Consortium. This role will focus on the data and computing aspects that Climate and Sustainability problems face and how we can overcome them.
The Chan Zuckerberg Biohub supported our efforts to build a ventilators for the COVID-19 pandemic. To learn more about how this felt on the ground, check out this write up.
July 1, 2021 - CZ Biohub Article
Deep learning and synthetic data can help us to find the initial conditions of problems. This way of finding an inverse is described in the MathWorks story: “When you know the answer, deep learning can determined the question.”
September 18, 2020 - AWS Case Study
Biomedical Devices Use MathWorks’ MATLAB and Amazon EC2 P3 Instances to Advance Research in Organ Cell Growth
November, 2023 - New Role: Dartmouth Faculty
Come check out my talk at the MATLAB EXPO on: Physics-Informed Machine Learning: Using the Laws of Nature to Improve Generalized Deep Learning Models.
May 4, 2021 - MATLAB EXPO Presentation
February 11, 2021 - MathWorks Story
December 3, 2020 - MathWorks Technical Article
Using simulations to inform a deep learning framework is a part of the “physics-informed” machine learning paradigm. Using MathWork’s MATLAB me and my team built a workflow to design new biochips. This article focusses on the technical aspects of that work.
March, 2023 - Two State-of-the-art Courses on LLM with edX
July, 2022 - New Role: Machine Learning Engineer/Data Scientist @ Databricks
With the intense development and new discoveries after the release of ChatGPT, I along with my coworkers designed and created two 6-week courses on Generative AI / LLM. One for developers to understanding the tools and technologies, and one for a ground-up look through how LLMs work, what they do under the hood.
Course 1: Application through production | Course 2: Foundation Models from the ground-up
Taking a break from academia, I decided to join the Machine Learning Practice team at the late-stage startup Databricks (remote).
In this role I’ll be working with customers to implement MLOps and LLM-based applications.
August 25, 2020 - NVIDIA’s Meet the Researcher
This series focusses on researchers in different areas of AI and HPC, read some of my thoughts on the field and the future of work in this space.
During the early phase of the 2020 COVID-19 pandemic I led a team to build one of the only emergency ventilators to go through FDA authorization. This near-impossible task was only possible because of our amazing team.
April 15 2020 - Stanford Medicine coverage of our COVID-19 ventilator work
January 29, 2020 - MIT News article on our new MathWorks funding
My research into biomedical device design was gracious offered new funding by MathWorks, this will enable us to continue this work to reach it’s full potential.