Pronouns: he/him

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2022-Present

Executive Summary

At the Causal AI Lab, I am a Computing Innovation Research Fellow funded by the NSF. I am working at the intersection of neuroscience and causal inference.

My causal inference research interests are in structure learning and causal estimation in equivalence classes and their relations to neuroscience.

2015-2022

Executive Summary

At Johns Hopkins University, I was a NSF Graduate Research Fellow, Whitaker Fellow, Chateaubriand Fellow and ARCS Chapter Scholar. My research interests were in computational neuroscience, epilepsy, statistical machine learning, dynamical systems and control theory.

• Python Expert
• MATLAB Expert
• Cython and C++ Proficient
• R Beginner

I am a core-contributor to MNE-Python, MNE-BIDS, MNE-Connectivity and contributed to other packages, such as scikit-learn, pyDMD, TVB.