I have a diverse academic and professional background spanning organic chemistry, neuroscience, computational modeling, and teaching. I am currently a postdoctoral researcher in the Computational Connectomics Lab where I study and model the impacts of various forms of neuromodulation on brain dynamics to better understand brain function in altered states of consciousness (e.g. psychedelics), and derive targeted brain therapies for substance use disorder, depression, PTSD, and more.
I also help run the Machine Learning in Medicine (MLiM) virtual seminar series where we host speakers virtually from around the world to discuss topics related to the application of machine learning and computational tools towards better understanding and treating disease. Webinars are free for all to attend. If you are interested in speaking, or would like to nominate someone, please fill out this form.