Join us for “Reproducible and Accountable AI Systems for Trustworthiness” a keynote presentation by Dr. Tanu Malik, College of Engineering – Electrical Engineering & Computer Science, MizzouForward faculty candidate.  Dr. Malik will present on her research for approximately 40-minutes with a 20-minute question and answer session to follow.

Dr. Tanu Malik is an Associate Professor at the School of Computing, DePaul University. Her research focuses on scalable systems design, data provenance and reproducibility, and scientific computing. At DePaul, she leads the DICE Lab, which has secured external funding from the National Science Foundation, the National Aeronautics Space Agency, the Department of Energy, and the Bloomberg Foundation. In recognition of her contributions, Tanu received the 2019 NSF CAREER award for her efforts in advancing computational reproducibility. She was also chosen as the 2019 DoE Better Scientific Software Fellow and was the recipient of DePaul’s esteemed Spirit of Inquiry award in 2023. Tanu earned her PhD in Computer Science from Johns Hopkins University and previously held the position of Research Associate Scientist at The University of Chicago.

Dr. Malik designs and develops reproducible and accountable systems. Towards this she has innovated the concept of reproducible and data-efficient containers, defined multiversion replay, created accountable systems for collaborative debugging, and improved reproducibility of interactive workflows. The systems she has designed received a total funding of $4.41M (personal share $3.21M) from the National Science Foundation (NSF), the Department of Energy (DoE), and the National Aeronautics and Space Agency (NASA), and DePaul University. This includes an NSF CAREER award, a DOE Fellowship, DePaul’s Spirit of Inquiry award, a best-paper award, and approximately 70 peer-reviewed publications in top-tier data management and scientific computing conferences with an overall h-index of 24.

Across industries such as finance, health, transportation, and science, it is frequently observed that data-driven processes and analyses are often managed more by operationalists than domain experts. As a result, the journey from data to decisions is susceptible to a considerable margin of error. The focus of her research is to construct reproducible and accountable systems that guarantee the reliability, transparency, and trustworthiness of data-driven processes and analyses. Nevertheless, the most significant challenge lies in developing systems that are efficient and accurate, non-intrusive to existing processes, and reproducible.

You can access Dr. Malik’s CV via OneDrive here:

 TM_CV_2024.pdf (University log in required to access)

After the keynote, please provide candidate feedback with our brief survey.