I am a second year PhD student in Computer Science at Cornell University, advised by Joe Halpern. I completed my undergraduate degree at University of Maryland, College Park.

I am broadly interested in logics (especially modal logics), artificial intelligence, and theoretical computer science.

I like working on hard technical problems that are motivated by real-world phenomena.


Areas of particular interest to me at the moment include causal reasoning, blameworthiness, behavioral economics, and computational social science. Examples of projects I've worked on recently include:

  • Combining Causal Models
    Developed a formal definition of compatibility of causal models in situations where experts producing the models had different focus areas. Showed how to combine compatible models and analyzed the complexity of doing so.
    Advisor: Prof. Joseph Y. Halpern
  • Triage and Forecasting of Mental Health Crises from Social Media Posts
    Worked on developing machine learning and natural language processing techniques for the detection of social media posts that are likely indicative of mental health crises in the present or near future.
    Advisors: Prof. Philip Resnik and Prof. Hal Daumé III (Paper,Dataset)
  • Formal Computational Modeling of Cancer Metabolism
    Used model checking techniques to analyze metabolic pathway deregulation in cancers, especially the effects of IDH mutation in glioblastoma. Results suggested new experiments for the neuro-oncology branch of the NIH.
    Advisors: Dr. Orieta Celiku and Dr. Mark Gilbert


Coming from a family of many educators, teaching is of utmost importance to me. I have served as a teaching assistant for a number of courses, with responsibilities including teaching a twice-weekly recitation section, holding office hours, and grading. The specific courses for which I have TAed are:

I have also completed coursework in both education and educational psychology.