School of Computer Science Professorships Celebration

— 5:30pm

In Person and Virtual Program - ET - Swartz Center for Entrepreneurship, 3rd Level, Tepper Quad


Martial Hebert, Dean and University Professor of Robotics, School of Computer Science, invites you to a celebration honoring

  • Jodi Forlizzi as she receives the Herbert A. Simon Professorship in Computer Science and Human-Computer Interaction
  • Jessica Hodgins as she receives the Allen Newell Professorship in Computer Science
  • Jian Ma as he receives the Ray and Stephanie Lane Professorship in Computational Biology 

Please REGISTER by Wednesday, 24 August 2022. → Attend in person or virtually. → For those joining virtually, the formal program will run from 4:30-5:15 pm EST

► Jodi Forlizzi
    Herbert A. Simon Professor of Computer Science and Human-Computer Interaction     Associate Dean for Diversity, Equity and Inclusion, School of Computer Science — Jodi Forlizzi is responsible for establishing design research as a legitimate form of research in HCI that is different from, but equally as important as, scientific and human science research. For the past 20 years, she has advocated for design research in all forms, mentoring peers, colleagues and students in its structure and execution. Today, it is an important part of the HCI community. Jodi’s current research interests include designing educational games that are engaging and effective; designing robots, AVs, and other technology services that use AI and ML to adapt to people’s needs; and designing for healthcare. She is a member of the ACM CHI Academy, and has been honored by the Walter Reed Army Medical Center for excellence in HRI design research. Jodi has consulted with Disney and General Motors to create innovative product-service systems.    ► Jessica Hodgins
    Allen Newell University Professor of Computer Science and Robotics     — Jessica Hodgins is a professor in the Robotics Institute and Computer Science Department. From 2008 to 2016, she founded and ran research labs for Disney, rising to vice president of research and leading the labs in Pittsburgh and Los Angeles. From 2005 to 2015, she was associate director for faculty in the Robotics Institute, running the promotion and tenure process and creating a mentoring program for pre-tenure faculty.  Prior to moving to Carnegie Mellon in 2000, she was an associate professor and assistant dean in the College of Computing at Georgia Institute of Technology. She received her Ph.D. in computer science from Carnegie Mellon University in 1989. Her research focuses on computer graphics, animation and robotics with an emphasis on generating and analyzing human motion. She has received a NSF Young Investigator Award, a Packard Fellowship and a Sloan Fellowship. She was editor-in-chief of ACM Transactions on Graphics from 2000 to 2002 and ACM SIGGRAPH Papers Chair in 2003. She was an elected director at large on the ACM SIGGRAPH Executive Committee from 2012 to 2017 and in 2017 she was elected ACM SIGGRAPH president. In 2010, she was awarded the ACM SIGGRAPH Computer Graphics Achievement Award and in 2017 she was awarded the Steven Anson Coons Award for Outstanding Creative Contributions to Computer Graphics.    ► Jian Ma
    Ray and Stephanie Lane Professor of Computational Biology     — Jian Ma’s research group started at the University of Illinois at Urbana-Champaign in August 2009 and moved to Carnegie Mellon in January 2016. Jian has received several awards including a National Science Foundation CAREER award (2011) and a Guggenheim Fellowship (2020 in computer science). The main focus of Jian’s ongoing research is the development of machine learning algorithms to reveal the structure and function of the human genome and cellular organization in complex tissues, and their implications for health and disease. Recent interests include the development of probabilistic models and representation learning schemes for nuclear organization, single-cell epigenomics, spatial omics, comparative genomics, cancer genomics and genetic variations. Jian’s lab is currently leading an NIH 4D Nucleome Center to develop integrative solutions to better understand the cell nucleus. He also has an affiliated faculty appointment in Machine Learning.

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