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المحتوى المقدم من Story Collider, Inc. and Story Collider. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة Story Collider, Inc. and Story Collider أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Unlikely Paths: Stories from the Institute for Genomic Biology

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Manage episode 348025932 series 2987437
المحتوى المقدم من Story Collider, Inc. and Story Collider. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة Story Collider, Inc. and Story Collider أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

There’s rarely an expected path in science. This week’s episode, produced in partnership with The Carl R. Woese Institute for Genomic Biology, features two stories from scientists of their cutting-edge research institute at the University of Illinois Urbana-Champaign who took unexpected journeys to get where they are today.

Part 1: After a troubling personal experience with the health care system, Heng Ji decides to try to fix it.

Part 2: When Brendan Harley is diagnosed with leukaemia in high school, it changes everything.

Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. She was named as part of Women Leaders of Conversational AI (Class of 2023) by Project Voice. The awards she received include "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, PACLIC2012 Best paper runner-up, "Best of ICDM2013" paper award, "Best of SDM2013" paper award, ACL2018 Best Demo paper nomination, ACL2020 Best Demo Paper Award, NAACL2021 Best Demo Paper Award, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She was the associate editor for IEEE/ACM Transaction on Audio, Speech, and Language Processing, and served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018 and AACL-IJCNLP2022. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2023. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Facebook, Bosch, IBM, Disney).

Heng Ji is supported by NSF AI Institute on Molecule Synthesis, and collaborating with Prof. Marty Burke at Chemistry Department at UIUC and Prof. Kyunghyun Cho at New York University and Genetech on using AI for drug discovery.

Dr. Brendan Harley is a Professor of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign. His research group develops biomaterial that can be implanted in the body to regenerate musculoskeletal tissues or that can be used outside the body as tissue models to study biological events linked to endometrium, brain cancer, and stem cell behavior. He’s a distance runner who dreams of (eventually) running ultramarathons. Follow him @Prof_Harley and www.harleylab.org.

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Artwork
iconمشاركة
 
Manage episode 348025932 series 2987437
المحتوى المقدم من Story Collider, Inc. and Story Collider. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة Story Collider, Inc. and Story Collider أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

There’s rarely an expected path in science. This week’s episode, produced in partnership with The Carl R. Woese Institute for Genomic Biology, features two stories from scientists of their cutting-edge research institute at the University of Illinois Urbana-Champaign who took unexpected journeys to get where they are today.

Part 1: After a troubling personal experience with the health care system, Heng Ji decides to try to fix it.

Part 2: When Brendan Harley is diagnosed with leukaemia in high school, it changes everything.

Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. She was named as part of Women Leaders of Conversational AI (Class of 2023) by Project Voice. The awards she received include "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, PACLIC2012 Best paper runner-up, "Best of ICDM2013" paper award, "Best of SDM2013" paper award, ACL2018 Best Demo paper nomination, ACL2020 Best Demo Paper Award, NAACL2021 Best Demo Paper Award, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She was the associate editor for IEEE/ACM Transaction on Audio, Speech, and Language Processing, and served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018 and AACL-IJCNLP2022. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2023. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Facebook, Bosch, IBM, Disney).

Heng Ji is supported by NSF AI Institute on Molecule Synthesis, and collaborating with Prof. Marty Burke at Chemistry Department at UIUC and Prof. Kyunghyun Cho at New York University and Genetech on using AI for drug discovery.

Dr. Brendan Harley is a Professor of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign. His research group develops biomaterial that can be implanted in the body to regenerate musculoskeletal tissues or that can be used outside the body as tissue models to study biological events linked to endometrium, brain cancer, and stem cell behavior. He’s a distance runner who dreams of (eventually) running ultramarathons. Follow him @Prof_Harley and www.harleylab.org.

Learn more about your ad choices. Visit podcastchoices.com/adchoices

  continue reading

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