Speaking
Over the years, Dr Majumdar has spoken at venues that span academic conferences, practitioner communities and interest groups, and educational institutions. He likes to speak about operationalizing trustworthy ML, and the relevance of statistical thinking in today’s industry ML landscape.
Please reach out if you’re interested in having him as a speaker in your event.
Selected Past Speaking Engagements
O’Reilly Expert Webinar
Aug 17th, 2023
Virtual
Webinar on operationalizing responsible AI in the industry.
2023 Workshop on Fair, Data Efficient and Trusted Computer Vision
June 18th, 2023
CVPR 2023, Vancouver, Canada
Keynote on applying the security mindset to responsible AI.
Open Data Science Conference West
Nov 3rd, 2022
ODSC West 2022, San Francisco, CA
Tutorial on practical aspects of trustworthy ML, intended to help ML development teams produce models that are secure, more robust, less biased, and more explainable.
ML:Integrity Conference
October 19th, 2022
Robust Intelligence, Virtual
Panel discussion on bias and fairness in industry ML pipelines.
TrustNLP: Second Workshop on Trustworthy Natural Language Processing
July 14th, 2022
NAACL 2022, Seattle, WA
Keynote on how Natural Language Processing (NLP) and network analysis techniques can be used to build a comprehensive representation of the knowledge space of scientific literature in trustworthy ML.
Responsibility in AI Systems and Experiences (RAISE) group
April 8th, 2022
University of Washington, Seattle, WA
Invited talk giving an applied research perspective on algorithmic fairness, covering my work on operationalizing ML fairness in an industry context while tacking several operational challenges.
DSS Virtual: Applying AI & Machine Learning to Finance & Technology
December 10th, 2020
Data Science Salon, Virtual
Invited talk on SIFT, an enterprise-level fairness documentation and monitoring platform I designed and built in AT&T.
Third NISS Industry Career Fair
February 19th, 2020
National Institute of Statistical Sciences, Virtual
Along with several other industry leaders, participated in a panel aimed at up-and-coming statisticians that offered career insights and discussed the unique opportunities and challenges in industry ML projects.
NYC WiMLDS meetup
March 26th, 2019
Xandr HQ, New York City, NY
Invited talk about my work in AT&T Labs on building large-scale ML models for viewer engagement and segmentation.