What you will be working on?
I will be working with Prof. Barbara Engelhardt on using graph machine learning and statistics to analyze spatial genomics data. I am also interested in modern inferential paradigms such as prediction powered inference, conformal prediction, and how to connect these approaches to my background in Bayesian inference.
What are you looking forward to the most in your experience as a WA Scholar?
I am most looking forward to meeting lots of students and collaborators, and getting broadly exposed to the interesting research problems inspired by modern medicine/biology, as well as approaches to tackle them using statistics, ML and AI.
How do you see this shaping your research and ultimately, career?
The WA postdoctoral fellowship will help me develop as a scientist. It provides broad application areas for my research that could inspire new methodology and theory. It also allows for a lot of opportunities to interact with students and collaborators. My experience as a WA postdoctoral fellow will be invaluable for my academic career and my research as I work towards a tenure-track faculty position.
From your perspective, what does it mean to you to be a WA Scholar?
It means a commitment to interdisciplinary innovation and collaboration, as well as generous mentorship.