About Me

I am a postdoctoral scholar in the Computer Science and Earth & Environmental Science departments at Boston College working with George Mohler and Yi Ming.

I work in the field of machine learning modeling for spatiotemporal domains where I specialize in designing region-agnostic, data-based models with applications catered to earth and enviromental science domains. I particularly focus on designing transfer learning and domain adaptation models for point prediction. My research interests can be narrowed down to applied transfer learning & domain adaptation, and geospatial machine learning.

I completed my PhD in computer science at Emory University where I was advised by Avani Wildani and Andreas Züfle. During this time, I also closely collaborated with and was mentored by Yang Liu.

I have also worked with Emily Wall at Emory, in the domain of human decision making as well as Vinod Scaria @CSIR-IGIB for my master's thesis.

Publications

• [ECML-PKDD, 2024]   Spatial Transfer Learning for Estimating PM 2.5 in Data-poor Regions  
  Shrey Gupta*, Yongbee Park*, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani & Yang Liu.
  [code] [slides] [poster]


• [EuroVis, 2023]   Belief Decay or Persistence? A Mixed-method Study on Belief Movement Over Time.  
  Shrey Gupta, Alireza Karduni, & Emily Wall.
  [code] [slides] [talk]


• [IJDSA, 2023]   Boosting for Regression Transfer via Importance Sampling.  
  Shrey Gupta, Jianzhao Bi, Yang Liu, & Avani Wildani.
  [poster]


• [Plos One, 2021]   DALIA- A Comprehensive Resource of Disease Alleles in Arab population.  
  Aastha Vatsyayan*, Parul Sharma*, Shrey Gupta, Sumiti Sandhu, Seetha Lakshmi Venu, Vandana Sharma, Bouabid Badaoui, Kaidi Azedine, Serti Youssef, Anna Rajab, Alaaeldin Fayez, Seema Madinur, Anop Ranawat, Kavita Pandhare, Srinivasan Ramachandran, Sridhar Sivasubbu, Vinod Scaria.