“It is better to know how to learn than to know” – Dr. Seuss
I am a PhD candidate (ABD) of Informatics at the college of Information Sciences and Technology (IST) and hold a PhD minor in Statistics both at Penn State University. I am advised by Dr. Vasant Honavar (IST) and Dr. Aleksandra Slavkovic (Statistics). Before joining Penn State, I received a Master’s in artificial intelligence and a Bachelor’s in computer software engineering.
I specialize in machine learning with a focus on fair and explainable AI. Additionally, I am developing machine learning models for sleep quality assessment from wearable sensor data. I am a member of the Artificial Intelligence Research Lab and a fellow at the Biomedical Big Data Training Program. You can find my cv here.
Media coverage: The paper “Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality” made its way to the news at (non-exhastive):
- I was recognized as a top 5% Excellent Reviewer for Neurips 2019 workshop on Machine Learning for Health (Nov 2019).
- My extended abstract “Algorithmic Bias in Recidivism Prediction: A Causal Perspective” was accepted to AAAI (Oct 2020).
- My paper “Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach” has been accepted for publication in Nature and Science of Sleep (Oct 2019).
- Successfully passed my proposal defense (Aug 2019).
- My request for a graduate minor in Statistics at Penn State got approved (June 2019).
- My paper “Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality” got accepted to WWW-2019.
- My article on the future of AI research got published on Intel’s Medium (Click here).
- Became an AI Student Ambassador for Intel (July 2018).
- After a long time of procrastination, finally wrote about my favorite teachers, under education on the left (July 2018).
- Attended the workshop by Center for Causal Discovery at Carnegie Mellon University (June 2018).
- Started writing about my favorite movies in the movie blog on the left (June 2018).
- Successfully passed 32 credits in courses for PhD (May 2018).
- Served as a judge for Penn State’s undergraduate poster exhibition (Apr 2018).
- Started writing about music theory in the music blog on the left (Apr 2018).
- Presented my work on sleep-wake prediction to the Biomedical Big Data to Knowledge spring retreat (Apr 2018).
- My paper on personalized sleep-wake prediction from actigraphy was published in BHI 2018 (Mar 2018).