معرفی
Paulette Clancy is the Edward J. Schaefer Professor in Engineering at the Whiting School of Engineering, Johns Hopkins University, where she leads a prominent research group in computational materials science. She is the director of research for the JHU Data Science and AI Initiative and associate director of the Johns Hopkins Center for Integrated Structure-Mechanical Modeling and Simulation (CISMMS), and a fellow of the Hopkins Extreme Materials Institute (HEMI).
Education:
- Bachelor’s in Chemistry, Queen Elizabeth College, University of London (1974)
- DPhil in Physical Chemistry, Oxford University (1977)
- Postdoctoral research at Cornell University and London University
Her research focuses on the atomic- and molecular-scale modeling of semiconductor materials, particularly organic and hybrid systems. Key areas include advanced organic materials (covalent organic frameworks, organic electronics), algorithm development (machine learning, Bayesian optimization, force fields), electronic materials (III-V semiconductors), and nucleation and crystal growth (perovskites, quantum dots). She develops physics-informed machine learning frameworks like PAL 2.0 to accelerate materials discovery.
The recent publications highlight a strong trend in integrating machine learning (especially Bayesian optimization) with computational chemistry to model and predict material behavior during processing. Topics span perovskite crystallization, gallium nitride growth, polymer thermoelectrics, and quantum dot self-assembly, reflecting a broad impact in semiconductors, renewable energy materials, and nanomaterials.
Scientific Awards and Honors:
- Fellow, Royal Society of Chemistry
- Fellow, American Institute of Chemical Engineers (AIChE)
- AIChE National Women’s Initiatives Mentoring Award
- Alice Cook Award (Cornell)
- Zellman Warhaft Award (Cornell)
Clancy is a dedicated mentor, having advised numerous PhD and master’s students who have gone on to careers in academia and industry. Her group has received funding for AI-driven microelectronics training through a $2.7M NSF award. She is also a founding chair of Women in Science and Engineering at Cornell and a strong advocate for diversity in STEM.
Labs and Teams:
- Clancy Research Group, JHU – focused on computational materials discovery
- Collaborator with Mitra Taheri’s group on real-time materials monitoring
- Director of Research, JHU Data Science and AI Initiative
- Associate Director, CISMMS
- Fellow, HEMI
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