Introduction

I am an associate professor at Boston University, with appointments in the:

Department of Electrical and Computer Engineering

Department of Computer Science

Division of Systems Engineering

Faculty of Computing and Data Sciences

Previously, I spent four years (2019-2023) also at Amazon as an Amazon Scholar in Alexa AI. From 2015-2018 I was the Peter J. Levine Career Development Assistant Professor in ECE and CS at Boston University, and from 2012-2015 I was an assistant professor in the Department of Computer Science and Engineering and the Department of Statistics at Ohio State University.

Before that, I spent three years as a postdoc at UC Berkeley EECS (Computer Science Division), and was also affiliated with ICSI, where I had the good fortune to work with Trevor Darrell, Stuart Russell, Michael Jordan, and Peter Bartlett. Broadly speaking, I am interested in all aspects of machine learning. A major focus is on large-scale optimization for core problems in machine learning such as metric learning, content-based search, clustering, and online learning. I also focus on applications with audio and visual data. I am also interested in large-scale graphical models, Bayesian inference, Bayesian nonparametrics, and deep learning.

I finished my Ph.D. in computer science in November, 2008, supervised by Inderjit Dhillon in the University of Texas at Austin computer science department. I did my undergrad in computer science and mathematics at Cornell University. I have also worked with John Platt and Arun Surendran at Microsoft Research on large-scale optimization, and as an undergraduate, I worked with John Hopcroft on tracking topics in networked data over time. During the Fall 2007 semester, I was a research fellow at the Institute for Pure and Applied Mathematics at U.C.L.A.

Curriculum Vitae [pdf]

Recent Service

(Senior) Area Chair: ICML 2024

(Senior) Area Chair: AISTATS 2024

(Senior) Area Chair: AAAI 2024

Area Chair: ICLR 2024

(Senior) Area Chair: NeurIPS 2023

Area Chair: ICML 2023

(Senior) Area Chair: AISTATS 2023

(Senior) Area Chair: AAAI 2023

Area Chair: ICLR 2023

Area Chair: NeurIPS 2022

Area Chair: ICML 2022

Area Chair: AISTATS 2022

(Senior) Area Chair: AAAI 2022

Area Chair: ICLR 2022

Area Chair: NeurIPS 2021

Area Chair: ICML 2021

Area Chair: AISTATS 2021

(Senior) Area Chair: AAAI 2021

Area Chair: ICLR 2021

Area Chair: NeurIPS 2020

Area Chair: ICML 2020

Area Chair: AISTATS 2020

(Senior) Area Chair: AAAI 2020

Area chair: NeurIPS 2019

Area chair: ICML 2019

Area chair: AISTATS 2019

Area chair: NIPS 2018

Area chair: ICML 2018

Senior Program Committee: AAAI 2018

Area chair: NIPS 2017

Area chair: ICML 2017

Area chair: AISTATS 2017

Area chair: ICML 2016

Area chair: AISTATS 2016

Area chair: ICML 2015

Area chair: AISTATS 2015

Area chair: NIPS 2014

Area chair: ICML 2014

Local arrangements chair: CVPR 2014

Area chair: ICML 2013

Publications by Type

Publications Chronologically

Google scholar profile

Teaching

Spring, 2024. Deep Learning

Fall, 2023. Introduction to Machine Learning

Spring, 2023. Deep Learning

Fall, 2022. Introduction to Machine Learning

Spring, 2022. Deep Learning

Fall, 2021. Introduction to Machine Learning

Spring, 2021. Introduction to Machine Learning

Fall, 2020. Deep Learning

Spring, 2019. Introduction to Machine Learning

Fall, 2018. Deep Learning

Spring, 2018. Advanced Data Structures and Algorithms

Spring, 2017. Deep Learning

Spring, 2017. Advanced Data Structures and Algorithms

Fall, 2016. Advanced Data Structures and Algorithms

Spring, 2015. Bayesian Modeling and Inference

Fall, 2014. Survey of Artificial Intelligence II

Spring, 2014. Survey of Artificial Intelligence II

Spring, 2013. Machine Learning

Fall, 2012. Probabilistic Graphical Models

Spring, 2012. Bayesian Modeling and Inference

Current Students

Sadie Allen, PhD student

Christopher Liao, PhD student

David Liu, PhD student

Former Group Members

Kubra Cilingir, PhD. After BU: Amazon

Ali Siahkamari, PhD. After BU: JP Morgan Chase

Andrew Cutler, PhD. After BU: REACT Neuro

Xide Xia, PhD. After BU: Facebook AI

Natasha Frumkin, BS. After BU: PhD student, UT Austin

Tayler Pauls, MS. After BU: Startup, then Amazon

Vijay Thakkar, BS. After BU: PhD student, Georgia Tech.

Rachel Manzelli, BS. After BU: Marlo Inc. then Modulate AI

Siva Sankarapandian, MS. After BU: Proscia Inc.

Robert Finn, PhD. After OSU: Assistant Professor, St. Peters University.

Anirban Roychowdhury, PhD. After OSU: Research Scientist at Facebook.

Ke Jiang, PhD. After OSU: Data Scientist at Microsoft.

Xiangyang Xhou, MS. After OSU: Google.

Lizzy Burl, BS. After OSU: Google.

Jiaxin Zhang, MS. After OSU: Google.

Ye Liu, MS. After OSU: PhD student, University of Michigan.

Siddharth Singh, MS. After OSU: IBM, then Amazon.

Research Details

Click here to read more about some of my research (old projects, not updated).

Contact Info

Office: 441 PHO

Email: bkulis [at] bu [dot] edu