Students

Group dinner, 2023



Group meeting, 2021

Current Students:

PhD Students:

• Yi-Chia Chang (co-advised with Ximing Cai)
  
• Zhijie Chen
  
• Rohan Deb
  
• Chandni Nagda
  

MS Students:

• Grace Go
  
• Mayank Srivastava
  

Undergrad Students:

• Deeya Bodas (CS STARS)
  
• George Huber
  
• Shreya Kannan
  
• Jingtong Wang (CS STARS)
  

Alumni:

• PhD Students:
  • Adam Stewart: PhD, 2023
    Title: GeoSpatial Machine Learning
    First Appointment: PostDoc, Technical University of Munich
    
    
  • Pedro Cisneros-Velarde: PostDoc, 2023
    Title: Deep Learning Optimization Theory
    First Appointment: VMWare/Broadcom
    
    
  • Sijie He: PhD, 2022
    Title: Advancing Climate Science with Machine Learning
    First Appointment: Microsoft
    
    
  • Xinyan Li: PhD, 2022
    Title: Empirical Analysis of Optimization and Generalization of Deep Neural Networks
    First Appointment: Iqvia
    
    
  • Yingxue Zhou: PhD, 2022
    Title: Noisy Iterative Learning Algorithms: Optimization, Generalization, and Privacy
    First Appointment: Amazon
    
    
  • Robert Giaquinto: PhD, 2021
    Title: Advancing Probabilistic Models for Approximate and Exact Inference
    First Appointment: Amazon
    
    
  • Qilong Gu: PhD, 2020
    Title: Stochastic Optimization for Large Scale Machine Learning
    First Appointment: Amazon
    
    
  • Vidyashankar Sivakumar: PhD, 2020
    Title: Beyond Sub-Gaussian and Independent Data in High Dimensional Regression
    Current Appointment: Amazon
    
    
  • Konstantina Christakopoulou: PhD, 2018
    Title: Towards Recommendation Systems with Real-World Constraints
    First Appointment: Google
    
    
  • Sheng Chen: PhD, 2018
    Title: Computational and Statistical Aspects of High-Dimensional Structured Estimation
    First Appointment: Voleon
    
    
  • Amir Taheri: PhD, 2017
    Title: High Dimensional Learning with Structure Inducing Constraints and Regularizers
    Current Appointment: Vanderbilt University
    
    
  • Farideh Fazayeli: PhD, 2017
    Title: Probabilistic Structured Models for Plant Trait Analysis
    First Appointment: Google
    
    
  • Nicholas Johnson: PhD, 2016
    Title: Structured Online Learning with Full and Bandit Information
    First Appointment: University of Pennsylvania
    Current Appointment: 3M
    
    
  • Igor Melnyk: PhD, 2016
    Title: Dynamic Bayesian Networks: Estimation, Inference, and Applications
    First Appointment: IBM Research
    
    
  • André Ricardo Gonçalves: PhD, 2016 (co-advised with Fernando Jose Von Zuben)
    Title: Sparse and Structural Multitask Learning
    Current Appointment: Lawrence Livermore National Labs
    
    
  • Soumyadeep Chatterjee: PhD, 2015
    Title: High Dimensional Statistical Models: Applications to Climate
    Current Appointment: Quora
    
    
  • Huahua Wang: PhD, 2014
    Title: Large Scale Optimization for Machine Learning
    First Appointment: Uber ATC
    
    
  • Karthik Subbian: PhD, 2014 (co-advised with Jaideep Srivastava)
    Title: Scalable Analysis of Information Flow in Networks
    First Appointment: Facebook
    Current Appointment: Amazon
    
    
  • Puja Das: PhD, 2014
    Title: Online Convex Optimization and its application to Online Portfolio Selection
    First Appointment: Apple
    
    
  • Qiang Fu: PhD, 2014
    Title: Efficient Inference Algorithms for Some Probabilistic Graphical Models
    First Appointment: Google
    
    
  • Nishith Pathak: PhD, 2013 (co-advised with Jaideep Srivastava)
    Title: Analyzing information flow in social networks for knowledge discovery
    First Appointment: Ninja Metrics
    
    
  • Hanhuai Shan: PhD, 2012
    Title: Probabilistic Models for Multi-relational Data Analysis
    First Appointment: Microsoft
    
    
  • Amrudin Agovic: PhD, 2011 (co-advised with Maria Gini)
    Title: Predictive Modeling using Dimensionality Reduction and Dependency Structures
    First Appointment: CEO, Reliancy
    
    
  • Varun Chandola: PhD, 2009 (co-advised with Vipin Kumar)
    Title: Anomaly Detection for Symbolic Sequences and Times Series Data
    Current Appointment: University of Buffalo
    
    
• MS Students:
  • Bhavesh Shrimali: MS, 2023
    
  • Hardik Goel: MS, 2017
    
  • Subrahmanya Bhat: MS, 2010
    
  • Aravind Ragipindi: MS, 2010
    
  • Roman Briskine: MS, 2007
    
    
• Undergraduate Students:
  • Alex Cook: UROP, 2014
    
  • Garrison Kubis: UROP, 2011
    
  • Tinghui Zhou: UROP, 2011
    
  • Kim Kawatra: UROP, 2010
    
  • Charles Curtsinger: UROP, 2007