Colleagues and Collaborators

Throughout my time as a student, postdoc, and research scientist, I've had the opportunity to work alongside a number of talented people to develop theoretical approaches, implement practical solutions, and pursue fascinating side projects. No matter the outcome of our endeavors, collaboration with such brilliant individuals is always an inspiring, insightful, and productive experience.

Below are some of the people I've worked with most.
Feel free to reach out to them to ask about me!

Clayton is a Distinguished Research Fellow at Lirio and a Distinguished Scientist at the University of Texas in Austin with 8 years of experience at the Oak Ridge National Laboratory. I've worked with Clayton since 2017 during my postdoc at ORNL, and now at Lirio since 2020. We've continually collaborated on a number of machine learning projects and are currently working on the practical challenges of reinforcement learning.

Chris is the Chief Artificial Intelligence Scientist at Lirio with over 15 years of experience at the Oak Ridge National Laboratory. Chris is my supervisor at Lirio and we've been working together since my joining the company in 2020. We're currently researching ways to address the challenges of deploying reinforcement learning systems in personalized healthcare.

Volodya is a Distinguished Professor at the University of South Carolina and a Lead Scientist at Lomonosov Moscow State University and the Steklov Institute of Mathematics. Volodya is the world expert in greedy algorithm theory and was my PhD advisor at USC from 2012 to 2017. We are still collaborating and pursuing several research directions related to greedy approximation and regularly meet at conferences and workshops.

Joe is a Machine Learning Software Engineer at One Medical. I worked with Joe during my postdoc at ORNL from 2017 to 2020 and then at Lirio from 2020 to 2021. Joe's background is in applied mathematics, and we've collaborated on a number of projects in machine learning and have published two papers on the practical aspects of deep learning.

Viktor is a Staff Mathematician at the Oak Ridge National Laboratory. I worked with Viktor during my postdoc at ORNL from 2017 to 2020. Viktor's background is in high-performance computing and during my time at ORNL we researched and explored the practical implementation and optimization of machine learning algorithms.

Armenak is a Visiting Assistant Professor at the Georgia Institute of Technology. I worked with Armenak during my postdoc at ORNL from 2017 to 2020. Like myself, Armenak's background is in approximation theory, and we've collaborated on a number of projects in supervised learning and published two papers on neural network approximation.

Anton is a Software Engineer at Google. I studied with Anton during my undergrad at Lomonosov Moscow State University from 2007 to 2012 and then during my graduate studies at the University of South Carolina from 2015 to 2017. Anton's background is in graph theory and functional analysis, though he has lots of interests outside of mathematics—in particular, we've collaborated on a few game development projects.