I'm Adam, a postdoctoral research scientist at Columbia University in the Causal AI Lab. I am a Computing Innovation Research Fellow funded by the NSF. I obtained my PhD from Johns Hopkins University. I am working at the intersection of neuroscience and causal inference.

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. More broadly, I develop theoretically grounded neural networks capable of understanding the causal relationships between latent factors within images, or text.

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 scikit-learn, Py-Why, MNE-Python, MNE-BIDS, MNE-Connectivity and contributed to other packages, such as pyDMD, TVB.