Our research is motivated by real-world problems in interdisciplinary studies such as social science, health informatics, and recommender systems. We endeavor to design transparent machine learning and data analytical techniques to better discover dynamic and interpretable patterns from large-scale data.

I am proud of each one of my students and mentees. I enjoy working with all of them!

If you are interested in joining our lab: Please check out openings and requirements.

Current students

Xiaoxue Han, PhD student, Computer Science
Area of study: Learning and Generalizing on Dynamic Graphs
2021 - present

Nan Cui, PhD student, Computer Science
Area of study: Fairness-informed Machine Learning
2022 - present

Jing Chen, PhD student, Data Science (co-advise with Dr. German Creamer)
Area of study: Transfer Learning for Sustainability
2021 - present

Libo Zhang, PhD student, Computer Science
2023 - present

Pengfei Hu, PhD student, Computer Science
2023 - present

Colleen Que, Undergraduate Student, Computer Science
Area of study: Machine Learning
2023 - present

Tyler Soiferman, Undergraduate Student, Stevens Institute of Technology
Area of study: Machine Learning
2022 - present

Zakariyya Scavotto, Undergraduate Student, Computer Science
Area of study: Machine Learning
Pinnacle Scholar
2023 - present

Eric Yang, Undergraduate Student, Computer Science
Area of study: Machine Learning
AIRS Fellowship
2023 - present

Dominick Varano, Undergraduate Student, Computer Science
Area of study: Machine Learning
2023 - present

Ioannis Ypsilantisno, Undergraduate Student, Computer Science
Area of study: Machine Learning
2023 - present

Alumni

Chang Lu, CS PhD, Stevens Institute of Technology
2019 - 2024
Dissertation: Knowledge-Guided Deep Learning for Health Data Mining and Augmentation
Now: ByteDance

Songgaojun Deng, CS PhD, Stevens Institute of Technology
2018 - 2022
Dissertation: Modeling and Understanding Societal Events via Graph Neural Networks
Recipient of the Excellence in Graduate Research Award (2022)
Now: University of Amsterdam

Adam Sadej, CS Master, Stevens Institute of Technology
2022 - 2023

Kun Wu, CS Master, Stevens Institute of Technology
2019 - 2020

Weronika Zamlynny, CS Bachelor & Master, Stevens Institute of Technology
Visited in 2019
Now: Microsoft

Remington Kim, Intern, Bergen County Academies
Summer 2021
Publication at Smoky Mountains Computational Sciences Data Challenge.
Now: MIT

Lyna Bacha, Intern, High Tech High School
Summer 2021
Now: Duke University

Hima Kolavennu, Intern, South Brunswick High School
Summer 2020
Now: UC Berkeley

Ameya Vaidya, Intern, Bridgewater-Raritan High School
Summer 2019
Publication at ICWSM20.
Now: Princeton University