I am an Associate Professor in the Department of Computer Science at Johns Hopkins University, with the secondary appointment in the Department of Applied Mathematics and Statistics. I graduated from UCLA; before that, I was leading the research group at HyperRoll, Israeli startup that has been acquired by Oracle in 2009. My research interests include efficient sublinear algorithms (such as sketches and coresets) and their applications to data science, machine and deep learning, systems and networks, physics and astronomy, oncology and radiology.

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Openings: I am looking for outstanding students and postdocs who are interested to work on algorithmic challenges of modern machine and deep learning. If you are interested, please send me an email.

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Affiliations:

• Algorithms and Complexity group
• The Johns Hopkins Mathematical Institute for Data Science (MINDS)
• The Institute for Data Intensive Engineering and Science (IDIES)
• Machine Learning group

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News:

• November 2019: Congrats to Lin Forrest Yang for receiving MINDS PhD 2018 Dissertation Award!
• November 2019: Happy to be a part of TRIPODS Institute for the Foundations of Graph and Deep Learning at Johns Hopkins University that will be established using a Transdisciplinary Research NSF Award.
• October 2019: QPIPE has been accepted to CoNEXT 2019 .
• October 2019: Jingfeng will present our "Regularization for Free via Iterate Averaging" paper in OPT 2019 . Congrats, Jingfeng!
• September 2019: Lean Algorithms are in APOCS20 .
• September 2019: Congratulations to Lin Forrest Yang for starting a new position as a Tenure Track Assistant Professor in the Department of Electrical and Computer Engineering at UCLA!
• August 2019: NitroSketch has been accepted to SIGCOMM 2019.
• August 2019: An Invited Talk at P4 Tutorial at SIGCOMM 2019 .
• July 2019: Sketched-SGD has been accepted to NeurIPS 2019.
• July 2019: Our paper on Learning Tissue Signatures has been accepted to Medical Imaging with Deep Learning (MIDL) 2019.
• February 2019: DistCache has won best paper award at FAST 19!
• September-December 2018: Foundations of Data Science at the Simons Institute at Berkeley
• October 2018: NSF workshop on programmable networks, NYU
• October 2018: Congratulations to Zaoxing (Alan) Liu for successfully defending his thesis! Alan will join Vyas Sekar's Lab at CMU and Minlan Yu's Lab at Harvard as a postdoc.
• October 2018: Congratulations to Nikita Ivkin for successfully defending his thesis! Nikita will join Amazon AWS at a researcher.
• June 2018: Joint PI Meeting: NSF BIGDATA and Big Data Hubs and Spokes
• May 2018: Congratulations to Harry Lang for successfully defending his thesis! In the Fall 2018 Harry will join Daniela Rus' Robotics Lab at MIT as a postdoc.
• September 2017: Congratulations to Lin Forrest Yang for successfully defending his thesis! Lin will join Mengdi Wang's group at Princeton as a postdoc.
• February 2017: NSF CAREER
• June 2017: Processing Big Data Streams, Shonan Village Center, Japan
• April 2016: IDIES Seed Funding
• August 2014:Google Faculty Award

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Teaching:

Fall 2019: Randomized and Big Data Algorithms (601.464/664).

Spring 2018: Introduction to Algorithms/Algorithms 1 (601.433/633).

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Students and Postdocs:

I have been fortunate to advise the following great researchers.

Current Postdocs, Ph.D. and Master Students:

• Vishwa Parekh, Postdoc (computational radiology and oncology) co-advised with Michael Jacobs
  
• Aditya Krishnan, co-advised with Michael Dinitz
  
• Xuan Wu
  
• Jingfeng Wu
  
• Anton Belyy, co-advised with Benjamin Van Durme
  
• Alex Bocchieri, Master student (computational radiology and oncology) co-advised with Michael Jacobs
  
• Zhuolong Yu, co-advised with Xin Jin
  

Former Ph.D. Students and Postdocs:

• Jalaj Upadhyay, co-advised with Raman Arora, first employment: Apple Research
  

• Nikita Ivkin, CS Ph.D., first employment: researcher at Amazon AWS

• Zaoxing (Alan) Liu, CS Ph.D., first employment: postdoc at CMU/Harvard

• Stephen Chestnut (Applied Math Ph.D., co-advised with Rico Zenklusen), first employment: postdoc at ETH Zurich

• Gregory Vorsanger, currently at HealthVerity
  

• Lin (Forrest) Yang, co-advised with Alex Szalay, currently an Assistant Professor at UCLA.
  

• Harry Lang, currently a postdoc with Daniela Rus.
  

Undergraduate Students:

• Jonathan Katzman

• Charles Seidell

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Publications:

DBLP Google Scholar

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Projects:

Clustering of Massive Datasets and Applications

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Service:

• Program Committee: ICDT 2021, ICALP 2020, SOSA 2020, PODS 2020, CSR 2019, LATIN 2018, SODA 2018, FOCS 2017, MASSIVE 2016, COCOON 2015
• Associate Editor, Journal of Computer and System Sciences (JCSS)
• Co-organizer of Capital Theory Day, Baltimore, MD, 2016
• Co-organizer of Sublinear Algorithms Workshop, Baltimore, MD, 2016
• Co-organizer of Processing Big Data Streams, Shonan Village Center, Japan, 2017

Funding:

• My research has been supported in part by NSF, ONR, Google , DARPA , Cisco , Nvidia , and IDIES