I am a
scientific programmer/data analyst at NYU research assistant professor at NYU assistant professor at University of Minnesota. My interests include machine learning, causal modeling, and statistical modeling, especially their applications in biomedical sciences.
As a former experimentalist who developed interests and gravitated towards the computational aspects of biomedical science, I feel like the things that I learned along the way of my transition could help bring the experimentlists and the theorists closer. Therefore, here, I share with you some of my past and on-going projects in data science, neuroscience, and hybrids of both. I also keep a blog as a tech journal, where I document my solutions to some problems that I encountered. The topics include but are not limited to data visualization, challenges in processing biomedical data, and analytical techniques commonly applied to high volumne high demensional data.