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Computational Engineering & AI
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Additional Information
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Professional Experience
- Jan 2025–: Assistant Professor of Applied Physics and Applied Mathematics, Columbia University
- Sep 2021–Dec 2024: Crone Research Fellow, Physics Department (Cavendish Laboratory), University of Cambridge.
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Honors & Awards
- 2023: Swiss Physical Society award in Computational Physics sponsored by COMSOL, for ‘contributions to a modern theory of thermal transport in solids’.
- 2022: EPFL Doctorate Award, issued by the École Polytechnique Fédérale de Lausanne to up to three PhD theses per year, chosen over >400 STEM theses, to recognize research work of ‘exceptional quality’.
- 2020: Dimitris N. Chorafas Foundation Award, issued by the Weizmann Institute of Science (Israel) to recognize ‘research characterized by its high potential for practical applications’.
- 2017: Computational thinking award, École Polytechnique Fédérale de Lausanne (Switzerland).
- 2015: IDEX Paris-Saclay scholarship, awarded by Université Paris-Saclay (France) to “students worldwide to enroll in a prestigious French master’s degree".
Research Areas
- Computational Methods and Data Analysis
- Transport Phenomena
- Advanced Materials
Additional Information
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Professional Experience
- Professor, Department of Chemical Engineering, Columbia University, 2021–present
- Associate Professor, Department of Chemical Engineering, Columbia University, 2016–2020
- Dorothy Quiggle Career Development Assistant Professor, Department of Chemical Engineering, Pennsylvania State University, 2015–2016
- Assistant Professor, Department of Chemical Engineering, Pennsylvania State University, 2010–2015
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Professional Affiliations
- American Institute of Chemical Engineers
- American Chemical Society
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Honors & Awards
- NSF CAREER Award, 2013
- 3M Non-Tenured Faculty Award, 2012
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Education
- PhD, Chemical Engineering, Northwestern University
- BS, Chemical Engineering, University of Virginia
Research Areas
- Artificial Intelligence (AI) and Machine Learning (ML)
- Vision and Robotics
- Applied and Theoretical Machine Learning
- Robotics and Autonomous Systems
Additional Information
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Professional Experience
- Senior Lecturer in Computer Science, Columbia University, 2025-
- Lecturer in the Discipline of Computer Science, Columbia University, 2018-
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Education
- PhD, Robotics, Carnegie Mellon University
- MS, Robotics, Carnegie Mellon University
- BS, Electrical Engineering and Computer Science, University of California, Berkeley
Research Areas
- Artificial Intelligence
- Computational Engineering Science
- Data Science
- Medical Devices and Instrumentation
- Imaging Science
- Deep / Machine Learning
- Modeling & Simulation
- Neuroscience & Neuroengineering
- Visualization
Additional Information
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Professional Experience
- Co-Chair, Center for Health Analytics, Data Science Institute, Columbia University, 2020-present
- Chair of Biomedical Engineering, Columbia University, 2012–2017
- Percy K. and Vida W. Hudson Professor of Biomedical Engineering and Professor of Radiology, Columbia University, 2011–present
- Professor of Biomedical Engineering and Radiology (Physics), Columbia University, 2004–2010
- Founding Director, Heffner Biomedical Imaging Lab, Columbia University, 1997–present
- Associate Professor of Biomedical Engineering and Radiology (Physics), Columbia University, 1995–2004
- Associate Professor of Computer and Information Sciences and Engineering; of Electrical and Computer Engineering; and of Radiology, University of Florida, 1995–1997
- Assistant Professor of Computer and Information Sciences and Engineering, University of Florida, 1990–1995
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Professional Affiliations
- Member, Association for Computing Machinery (ACM)
- Member, Radiological Society of North America (RSNA)
- President, IEEE Engineering in Biology and Medicine Society (EMBS), 2015-2016
- Past President, IEEE Engineering in Biology and Medicine Society (EMBS), 2017-2018
- Chair, Technical Committee on Biomedical Health Informatics, IEEE EMBS, 2018-2020
- Editorial Board, Journal of Biomedical Health Informatics, IEEE, 2018 – present
- Executive Advisory Board, Journal of Computerized Tomography and Computerized Radiology (CMIG), ELSEVIER, 2020 – present
- Steering Committee for IEEE International Symposium on Biomedical Imaging (ISBI)
- Appointed two consecutive 2-year terms, 1/2021 – 1/2024
- International Academy of Medical and Biological Engineers (IAMBE), Chair, Membership Committee, 2022-2024.
- IEEE EMBS Fellows Nomination Committee Chair, 2023 – 2025
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Honors & Awards
- Fellow IAMBE (International Academy of Medical and Biological Engineers
- Fellow, International Federation for Medical and Biological Engineering (IFMBE)
- Fellow, Institute of Electrical and Electronics Engineers (IEEE)
- AIMBE Fellow - American Institute for Medical and Biological Engineering (Class of 2006)
- Distinguished Lecturer, IEEE Engineering in Biology and Medicine Society (EMBS), 2021 – 2024
- IBM Faculty Award, T.J. Watson Research Center (2008, 2009)
- Humboldt Research Award, Alexander von Humboldt Foundation, Bonn, Germany; Sponsoring Institutes: Technische Universität Darmstadt, Darmstadt, Germany, 1998, and University of Bremen, MeVis Institute, Bremen, Germany, 1999
- Whitaker Foundation Award in Biomedical Engineering, 1992
- Research Initiation Award, National Science Foundation, 1991
- Engineering Research Award, Engineering Foundation and the Institute of Electrical and Electronics Engineers, 1991
Research Areas
- Artificial Intelligence (AI) and Machine Learning (ML)
- Applied and Theoretical Machine Learning
- Artificial Intelligence
- Computer Science Education
- Education Technology
Additional Information
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Professional Affiliations
- ACM SIGCSE
- ACM SIGKDD
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Honors & Awards
- Presidential Award for Outstanding Teaching, Columbia University, 2016
- Great Teacher Award, Society of Columbia Graduates, Columbia University, 2016
- Department of Computer Science Faculty Teaching Award, Columbia University, 2009
- Distinguished Faculty Teaching Award, SEAS Alumni Association, Columbia University, 2002