ACT for Data Science: Lunch & Learn
Introduction to Data Science, Collaborative Services, & Education Programs available at UR
Tuesday, June 26th, 11:45 to 1:00PM EST, Webster NY B-335

Speaker: Ajay Anand, PhD

Deputy Director Goergen Institute of Data Science

Bio: Ajay Anand currently serves as the deputy director of the Goergen Institute for Data Science at the University of Rochester. In this role, he manages various education initiatives of the institute including the master’s and BS/BA degree programs in data science. He also directs the data science capstone and practicum courses where students actively engage with external companies to work on a real-world data science project during an academic semester.

Prior to joining the University of Rochester, Ajay has 12 years’ experience working in a variety of R&D roles in the medical imaging industry. As a technical project manager at Carestream Health, he was responsible for the design and development of advanced medical ultrasound imaging techniques, and implementing these technology innovations in commercial products. While at Carestream, Ajay also served as co-principal investigator for multiple academic collaborations working with senior faculty at the University of Rochester. As a senior research scientist and technical project leader at Philips Research, he led a series of research initiatives in the area of predictive modeling for real-time monitoring of noninvasive therapy. Ajay has given invited talks at international conferences such as AIUM, and served as reviewer for multiple international journals in the area of medical imaging. He is a co-inventor of more than 40 patent applications, and published more than 20 peer-reviewed journal articles and conference papers. Ajay holds a MS degree in biomedical engineering, and MS and PhD degree in electrical engineering.


Lunch will be provided

In person: Webster NY B335 Shanghai Conference Room, space is limited

If attending in person please email to for lunch count and dietary restrictions. Space is limited, first come first serve.

Call-in: WebEx (details will follow)