AI/ML, Computational Science

My technical expertise lies in machine learning, AI foundation models, data science, and computational physics. In my work spanning the healthcare, biotechnology, energy, and materials industries, I apply machine learning, deep learning, generative AI, statistical data modeling, and physics-based computational modeling for technology development, using Python, C/C++, and MATLAB.

I earned my Ph.D. at MIT, where I conducted research on the mathematical modeling and stochastic simulation of complex flows. This work was aimed at optimizing the design and operation of microfluidic devices for DNA processing. Here is a video of DNA dynamics in a microfluidic device from one of my stochastic simulations:

As a postdoc, I developed and solved stochastic and statistical mechanical models of biomolecules and polymers in C++ and MATLAB, and implemented reduced-order Molecular Dynamics (MD) simulations in LAMMPS, an open-source C++ MD code. This work guided the design of high-performance materials. Here is a video of polymer dynamics from one of my MD simulations:

I have also completed the MITx MicroMasters Program in Statistics and Data Science. Here is a video of particle dynamics I developed for a course project, based on a Gaussian process flow simulation in Python:

In my work, I develop machine learning solutions that drive innovation in several domains, including healthcare, energy, and materials. My recent work has included AI foundation models and explainable AI for heart disease diagnosis from ECG data, price forecasting and optimization models to maximize battery revenue in energy markets, anomaly detection methods based on unsupervised and semi-supervised generative models to automate the detection of anomalous data, as well as time series analysis, forecasting, regression, and classification models for product design and optimization.

Outside of work, I like traveling, hiking, watching documentaries, and reading. My favorite travel destination so far has been Heraklion, which I was inspired to visit by this awesome documentary.