Praneeth Vepakomma

Praneeth Vepakomma Email and Phone Number

Cambridge, MA, US
Praneeth Vepakomma's Location
Cambridge, Massachusetts, United States, United States
Praneeth Vepakomma's Contact Details

Praneeth Vepakomma work email

Praneeth Vepakomma personal email

Praneeth Vepakomma phone numbers

About Praneeth Vepakomma

Research Website/Publication Links: 1.) Research homepage: https://praneeth.mit.edu 2.) https://scholar.google.com/citations?hl=en&user=T_mPgZIAAAAJ&view_op=list_works&sortby=pubdateWho/Where: I am a Visiting Assistant Professor in Massachusetts Institute of Technology (MIT) at IDSS, and an Assistant Professor in MBZUAI. I did my PhD at MIT with a major focus on trustworthy/responsible ML that includes a sub-focus on distributed (resource-efficient) and private computation in statistics, ML/AI and data science at large. Awards/News:(Fellowship) Selected as an OpenDP academic fellow for 1 year at Harvard. OpenDP effort is led by Prof.Salil Vadhan and Prof.Gary King.(Fellowship) Won an ADIA Lab (Abu Dhabi Investment Authority Lab) Fellowship.(Mentorship) Am a mentor now for the Fatima fellowship and closely support students through their research careers.(Fellowship) Won the Meta (previously FB) 2022 Phd Research Fellowship (37 fellows selected out of 2300 applicants). Featured on MIT News with three other fellowship recipients.(Award) Non-Profit I co-founded (Integrity Distributed) won Financial Times Digital Innovation Award. Borne into fruition based on my research work.Check out our exciting work on Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems (PDF) that bridges differential privacy with social choice theory using analysis of Boolean fns. (Scholarship) Selected as a SERC Scholar (Social and Ethical Responsibilities of Computing Scholar) by MIT’s Schwarzman College of Computing.My work on split learning featured on MIT Technology Review and MIT News.(Award) NoPeek-Infer won a Mukh Best Paper Runner Up Award at IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) conference.(Award) FedML work won a Baidu Best Paper Award at NeurIPS 2020-SpicyFL.Am a mentor at the upcoming United Nations Privacy Enhancing Technologies/U.N PET lab's first global hackathon.(Award) Won the FL-IJCAI'22 Best Student Paper Award for "Visual Transformer Meets CutMix for Split Learning", at the International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22).Attending Boston DP Summer School(Award) Extra Mile award at PublicEngines (acquired by Motorola Solutions)

Praneeth Vepakomma's Current Company Details
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)

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Assistant Professor
Cambridge, MA, US
Praneeth Vepakomma Work Experience Details
  • Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)
    Assistant Professor
    Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)
    Cambridge, Ma, Us
  • Massachusetts Institute Of Technology
    Visiting Assistant Professor
    Massachusetts Institute Of Technology Mar 2024 - Present
    Cambridge, Ma, Us
    IDSS (Institute for Data, Systems and Society)
  • Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)
    Assistant Professor
    Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence) Dec 2023 - Present
    Abu Dhabi, Ae
  • Adia Lab
    Adia Lab Fellow
    Adia Lab Mar 2024 - Present
    Al Maryah Island, Abu Dhabi Emirate, Ae
  • Massachusetts Institute Of Technology
    Doctoral Student
    Massachusetts Institute Of Technology Sep 2018 - Dec 2023
    Cambridge, Ma, Us
    Research website: https://praneeth.mit.edu
  • Meta
    Statistics & Privacy Intern
    Meta May 2022 - Sep 2022
    Menlo Park, Ca, Us
  • Tripleblind
    Internship @ Tripleblind (On Exciting Ppml Work)
    Tripleblind Jun 2020 - Sep 2020
    Kansas City, Missouri, Us
  • Apple
    Research Internship
    Apple Jun 2019 - Aug 2019
    Cupertino, California, Us
    Interning @ Apple (ML Privacy Team)
  • Amazon
    Research Scientist
    Amazon Jun 2017 - Aug 2018
    Seattle, Wa, Us
    Fraud Detection at AWS, Amazon
  • Motorola Solutions
    Principal Staff Scientist
    Motorola Solutions Mar 2013 - Jun 2017
    Chicago, Il, Us
    Smart Public Safety, Statistical Modeling, Machine Learning, Green card holder (EB-1)
  • Florida International University
    Visiting Research Scholar (Sensors, Mems & Smart Power Grids, Concurrent Job )
    Florida International University Nov 2014 - Sep 2015
    Miami, Fl, Us
    Research on modeling data from sensors & MEMS.
  • Public Engines (Acquired By Motorola Solutions)
    Data Scientist
    Public Engines (Acquired By Motorola Solutions) Mar 2013 - Sep 2014
    * Statistical and Mathematical modeling of Crime.* Developed algorithms and the backend for predicting crime leading to a game changing, high-revenue product called Command Central Predictive.
  • Blinq Media (Acquired By Gannett)
    Senior Data Scientist
    Blinq Media (Acquired By Gannett) Jan 2012 - Feb 2013
    Chicago, Illinois, Us
    * Developed a budget allocation and risk mitigation engine based on Conditional Value at Risk.* Developed the core-algorithms of an award winning, game-changing product called LiFT for automated optimal keyword generation for advertising on Facebook.* Developed automated persona generation algorithms* Predictive modeling and ad performance factoring.
  • Sense Networks, Inc. (Acquired By Yellow Pages)
    Machine Learning Scientist
    Sense Networks, Inc. (Acquired By Yellow Pages) Jan 2011 - Jan 2012
    New York, New York, Us
    * Supervised Learning and Statistical Modeling of Spatio-Temporal Data.* Developed an ML based predictive engine in R.
  • Corning Incorporated
    Statistical Engineering Co-Op
    Corning Incorporated Jul 2010 - Sep 2010
    Corning, New York, Us
    * Developed a Likelihood based Cross-Spectral Coherence maximizing, optimal unlagging algorithm for massive time series datasets.* Cross-Spectral analysis of time series

Praneeth Vepakomma Skills

Machine Learning Algorithms R Statistics Matlab Statistical Modeling Java Predictive Modeling Optimization C Time Series Analysis Sas Mathematical Modeling Data Mining Big Data Analytics Bayesian Statistics Spss Computer Algebra Systems Python

Praneeth Vepakomma Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Doctor Of Philosophy - Phd
  • Rutgers University
    Rutgers University
    Mathematical And Applied Statistics

Frequently Asked Questions about Praneeth Vepakomma

What company does Praneeth Vepakomma work for?

Praneeth Vepakomma works for Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)

What is Praneeth Vepakomma's role at the current company?

Praneeth Vepakomma's current role is Assistant Professor.

What is Praneeth Vepakomma's email address?

Praneeth Vepakomma's email address is pr****@****ail.com

What is Praneeth Vepakomma's direct phone number?

Praneeth Vepakomma's direct phone number is +184757*****

What schools did Praneeth Vepakomma attend?

Praneeth Vepakomma attended Massachusetts Institute Of Technology, Rutgers University.

What are some of Praneeth Vepakomma's interests?

Praneeth Vepakomma has interest in Science And Technology.

What skills is Praneeth Vepakomma known for?

Praneeth Vepakomma has skills like Machine Learning, Algorithms, R, Statistics, Matlab, Statistical Modeling, Java, Predictive Modeling, Optimization, C, Time Series Analysis, Sas.

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