Praneeth Vepakomma Email & Phone Number
@mit.edu
2 phones found area 847
LinkedIn matched
Who is Praneeth Vepakomma? Overview
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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.
Email format at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
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AeroLeads found 1 current-domain work email signal for Praneeth Vepakomma. Compare company email patterns before reaching out.
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.
Praneeth Vepakomma's current company
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Praneeth Vepakomma work experience
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Visiting Assistant Professor
CurrentIDSS (Institute for Data, Systems and Society)
Assistant Professor
Current
Adia Lab Fellow
Current
Statistics & Privacy Intern
Internship @ Tripleblind (On Exciting Ppml Work)
Principal Staff Scientist
Smart Public Safety, Statistical Modeling, Machine Learning, Green card holder (EB-1)
Visiting Research Scholar (Sensors, Mems & Smart Power Grids, Concurrent Job )
Research on modeling data from sensors & MEMS.
Data Scientist
* 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.
Senior Data Scientist
* 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.
Machine Learning Scientist
* Supervised Learning and Statistical Modeling of Spatio-Temporal Data.* Developed an ML based predictive engine in R.
Statistical Engineering Co-Op
* Developed a Likelihood based Cross-Spectral Coherence maximizing, optimal unlagging algorithm for massive time series datasets.* Cross-Spectral analysis of time series
Praneeth Vepakomma education
Doctor Of Philosophy - Phd
M.S, Mathematical And Applied Statistics
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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