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Praneeth Vepakomma Email & Phone Number

Location: Cambridge, Massachusetts, United States 15 work roles 2 schools
1 work email found @mit.edu 2 phones found area 847 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email p****@mit.edu
Direct phone (847) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Assistant Professor
Location
Cambridge, Massachusetts, United States

Who is Praneeth Vepakomma? Overview

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Quick answer

Praneeth Vepakomma is listed as Assistant Professor at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at mit.edu, phone signal with area code 847, and a matched LinkedIn profile for Praneeth Vepakomma.

Praneeth Vepakomma previously worked as Visiting Assistant Professor at Massachusetts Institute Of Technology and ADIA Lab Fellow at Adia Lab. Praneeth Vepakomma holds Doctor Of Philosophy - Phd from Massachusetts Institute Of Technology.

Company email context

Email format at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

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{first_initial}{last}@mit.edu
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AeroLeads found 1 current-domain work email signal for Praneeth Vepakomma. Compare company email patterns before reaching out.

Profile bio

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)

Listed skills include Machine Learning, Algorithms, R, Statistics, and 16 others.

Current workplace

Praneeth Vepakomma's current company

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MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence)
Assistant Professor
Cambridge, MA, US
AeroLeads page
15 roles

Praneeth Vepakomma work experience

A career timeline built from the work history available for this profile.

Adia Lab Fellow

Current

Al Maryah Island, Abu Dhabi Emirate, AE

Mar 2024 - Present

Statistics & Privacy Intern

Menlo Park, CA, US

May 2022 - Sep 2022

Internship @ Tripleblind (On Exciting Ppml Work)

Kansas City, Missouri, US

Jun 2020 - Sep 2020

Research Internship

Cupertino, California, US

Interning @ Apple (ML Privacy Team)

Jun 2019 - Aug 2019

Research Scientist

Seattle, WA, US

Fraud Detection at AWS, Amazon

Jun 2017 - Aug 2018

Principal Staff Scientist

Chicago, IL, US

Smart Public Safety, Statistical Modeling, Machine Learning, Green card holder (EB-1)

Mar 2013 - Jun 2017

Visiting Research Scholar (Sensors, Mems & Smart Power Grids, Concurrent Job )

Miami, FL, US

Research on modeling data from sensors & MEMS.

Nov 2014 - Sep 2015

Data Scientist

Public Engines (Acquired By Motorola Solutions)

* 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.

Mar 2013 - Sep 2014

Senior Data Scientist

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.

Jan 2012 - Feb 2013

Machine Learning Scientist

New York, New York, US

* Supervised Learning and Statistical Modeling of Spatio-Temporal Data.* Developed an ML based predictive engine in R.

Jan 2011 - Jan 2012

Statistical Engineering Co-Op

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

Jul 2010 - Sep 2010
2 education records

Praneeth Vepakomma education

Doctor Of Philosophy - Phd

Massachusetts Institute Of Technology

M.S, Mathematical And Applied Statistics

Rutgers University
FAQ

Frequently asked questions about Praneeth Vepakomma

Quick answers generated from the profile data available on this page.

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 MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)?

Praneeth Vepakomma is listed as Assistant Professor at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence).

What is Praneeth Vepakomma's email address?

AeroLeads has found 1 work email signal at @mit.edu for Praneeth Vepakomma at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence).

What is Praneeth Vepakomma's phone number?

AeroLeads has found 2 phone signal(s) with area code 847 for Praneeth Vepakomma at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence).

Where is Praneeth Vepakomma based?

Praneeth Vepakomma is based in Cambridge, Massachusetts, United States while working with MBZUAI (Mohamed bin Zayed University of Artificial Intelligence).

What companies has Praneeth Vepakomma worked for?

Praneeth Vepakomma has worked for Mbzuai (Mohamed Bin Zayed University Of Artificial Intelligence), Massachusetts Institute Of Technology, Adia Lab, Meta, and Tripleblind.

How can I contact Praneeth Vepakomma?

You can use AeroLeads to view verified contact signals for Praneeth Vepakomma at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), including work email, phone, and LinkedIn data when available.

What schools did Praneeth Vepakomma attend?

Praneeth Vepakomma holds Doctor Of Philosophy - Phd from Massachusetts Institute Of Technology.

What skills is Praneeth Vepakomma known for?

Praneeth Vepakomma is listed with skills including Machine Learning, Algorithms, R, Statistics, Matlab, Statistical Modeling, Java, and Predictive Modeling.

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