Kalyan Veeramachaneni

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Media Coverage

If you are a member of the press and would like to speak with Kalyan, please contact:

kalyanv@mit.edu

In the News

What is synthetic data — and how can it help you competitively?

MIT Sloan “Ideas Made to Matter”: January 23, 2023

How MIT is training AI language models in an era of quality data scarcity

VentureBeat: December 6, 2022

Research Highlights: R&R: Metric-guided Adversarial Sentence Generation

InsideBIGDATA: December 2, 2022

Privacy-friendly machine learning data sets: synthetic data

The Overflow: October 17, 2022

MIT startup DataCebo offers tool to evaluate synthetic data

InfoWorld: September 29, 2022

Study: Improving the interpretability of ML features for end-users

Dataconomy: July 4, 2022

Building explainability into the components of machine-learning models

MIT News: June 30, 2022

3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning

MIT News: October 6, 2021

Collaborators in climate action

MIT News: April 22, 2021

One-stop machine learning platform turns health care data into insights

MIT News: April 9, 2021

Synthetic Data: Even Better than the Real Thing?

Communications of the ACM: March 9, 2021

MIT Researchers Tackle Time Series Anomalies with Generative Adversarial Networks

Datanami: January 25, 2021

Method finds hidden warning signals in measurements collected over time

MIT News: December 17, 2020

A human-machine collaboration to defend against cyberattacks

MIT News: February 21, 2020

Featured Coverage

Delivering on the promise – first AI product built using our automated data science tools (by Accenture)

MIT News | “The AI Project Manager” paper

It is not about fancy algorithms anymore – it is about making Machine learning easier to use

Our 2018 Harvard Business review article.