The high-dimensional learning and data analysis (HILDA) research group works on a range of problems in harmonic analysis, machine learning, and data science. Current members include:

Kapil Devkota

Ph.D. student (Computer Science)

Research interests: biological networks, spectral graph theory

Scott Fullenbaum

Undergraduate Student (Mathematics)

Research interests: image processing

Brendan Mallery

Ph.D. student (Mathematics)

Research interests: probability theory, optimization, geometry

Marshall Mueller

Ph.D. student

Research interests: optimal transport, statistical signal processing, anomaly detection

Daniel Peng

Ph.D. student

Research interests: graph theory, geography

Matt Werenski

PhD student (Computer Science)

Research interests: probability theory, optimal transport

• Jordan Banks, visiting REU student (2022). Currently an undergraduate at Howard University.
• Rachel Stumpf, visiting REU student (2022). Currently an undergraduate at St. Olaf College.
• Nasir Wynruit, REU student (2022). Currently an undergraduate at Tufts.
• Samuel Polk, PhD student (2018-2022). First position: MIT Lincoln Labs.
• Opemipo Esan, visiting undergraduate researcher (2020-2021). Currently an intern at Uber and undergraduate at Penn State University.
• Harris Hardiman-Mostow, undergraduate student (2020-2021). First position: PhD student at UCLA
• Eugene Henninger-Voss, undergraduate researcher (2020-2021). First position: PhD Student at Penn State University.
• Harrison Miller, masters student (2020-2021). First position: Alnylam Pharmaceuticals.
• Abiy Tasissa, Norbert Wiener assistant professor (2019-2021). First position: tenure track assistant professor at Tufts
• Shukun Zhang, undergraduate/masters researcher (2019-2021). First position: Huawei.
• Duc Nguyen, undergraduate researcher (2019-2020). First position: PhD student at the University of Maryland, College Park.
• Bhushan Suwal, undergraduate researcher (2019-2020). First position: PhD student at Boston University.