The members of our group come from a diverse cultural and academic background, promoting a creative and productive work environment.
Bottom row: Farhan Shaikh, Yuqi Feng, Paulette Clancy, Mia Liu, Joshitha Pilla, Yi Cao; Top row : Kumar Miskin, Peter Mastracco, Madaline Marland, Luke Oluoch (10/08/2025) 
Seated, left to right: Maitreyee Sharma Priyadarshini, Prof. Paulette Clancy, Divya Sharma, Wenxin Qi. Standing, left to right: Kit Ao, Aaron Chen, Connor Ganley, Haili Jia, Isaiah Chen, Araben Tablizo, Kumar Miskin. Not shown: Gigi Wang, Megan Lim. 
Left to right: Connor, Luke, Paulette, Maitreyee, Kumar, Peter, Yuqi, Yi, Jess 
Seated (left to right): Madaline, Haili, Connor, Paulette, Kumar. Standing: Jess, Isaiah, Divya, Yi, Seba, Farhan 
LHS (closest to the camera and going back)– Jess Strongin, Peter Mastracco, Luke Oluoch, Madaline Marland RHS (closest to the camera first)– Yuqi Feng, Yi Cao, Paulette Clancy, Farhan Shaikh, Kumar Miskin (10/07/2025)
Principal Investigator
Prof. Paulette Clancy
Edward J. Schaefer Professor in Engineering, Department of Chemical and Biomolecular Engineering, Johns Hopkins University
Samuel W. and M. Diane Bodman Professor in Chemical Engineering, Cornell University
Ph.D. Chemistry, Oxford University, 1977
B.A. Chemistry, University of London, 1974
Address: 221 Maryland Hall
Phone: 410-516-4312
Email: pclancy3@jhu.edu
Research Interest: Computational studies of crystalline semiconducting materials synthesis, processing and design with a focus on ‘small molecule’ organic semiconductors and beyond-CMOS electronic materials (from graphene to InGaAs and low-k SiCOH).
Postdoctoral Research Associates
Peter Mastracco
Ph.D. at University of California, Irvine, 2024
MS University of California, Irvine, 2021
BS Binghamton University, 2019
Email: pmastra2@jh.edu
LinkedIn: peter-mastracco
Research Interest: Developing interpretable, physics-informed machine learning frameworks for materials design, using experimental data to guide Bayesian optimization for materials discovery. Integrating computational modeling, thermodynamics, and statistical learning to extract physical insight from limited, noisy experimental data for data-efficient pathways to next-generation functional materials.
Doctoral Research Associates
Kumar Miskin
M.Tech. Artificial Intelligence and Data Science, Indian Institute of Technology Bombay, India, 2022
B.Tech. Metallurgical Engineering & Materials Science with Minor in Computer Science and Engineering, Indian Institute of Technology Bombay, India, 2022
Email: kmiskin1@jh.edu
LinkedIn: kumarpmiskin
Research Interest: Algorithm Development for Material Discovery and Atomistic Simulation
Luke Oluoch
B.S. Chemical Engineering, University of Rochester, 2019
Email: loluoch1@jh.edu
LinkedIn: luke-oluoch
Research Interest: Applying deep learning to material processing and image processing.
Yi Cao
B.S. Pharmaceutical Sciences, Fudan University, 2023
Email: ycao73@jh.edu
LinkedIn: yi-cao
Personal Website: yicao-elina
Research Interest: Machine learned interatomic potential (MLIP); Develop generalizable AI4Science frameworks that combine DFT, MD with ML and LLMs to enable data-efficient, interpretable, and closed-loop material discovery.
Jessica Strongin
B.S. Chemical Engineering, University of Maryland College Park, 2023
Email: jstron14@jh.edu
LinkedIn: jessica-strongin
Research Interest: organic electronics, conducting polymers for bioelectronic applications, intersection of experimental and computational work, machine learning
Madaline Marland
B.S. Chemical Engineering, University of Virginia, 2023
Email: mmarlan1@jh.edu
LinkedIn: madaline-marland
Research Interest: Computational materials investigation for mechanistic understanding and efficient materials design
Farhan Shaikh
Integrated M. Tech Chemical Engineering, minor Polymer and Material Science, Institute of Chemical Technology Mumbai, Jalna Campus, 2023
Email: fshaik10@jh.edu
LinkedIn: farhan-shaikh
Research Interest: Computational Materials Science, Density Functional Theory, and Machine Learning for Perovskite Exploration
Maurice Curran
B.S. Chemical Engineering, University of Virginia, 2023
Email: mcurran8@jh.edu
LinkedIn: maurice-curran
Research Interest: Combining computational and experimental approaches for semiconductor nanomaterials development
M.S. Research Associates
Leyao Huang
BE, Chemical Engineering, North Carolina State University, 2025
Email: lhuang77@jh.edu
LinkedIn: leyao-huang
Research Interest: Combining DFT and ML to study energy materials
Joshitha Pilla
BS/MS in Chemical and Biomolecular Engineering, Johns Hopkins University, 2026
Email: jpilla1@jh.edu
Research Interest: Machine learning and materials research for applications in energy technologies
Undergraduate Research Associates
Victor Wu
Email: vwu16@jhu.edu
Research Interest: DFT and ML for defect study in 2D vdW material; Machine learned interatomic potential (MLIP)
Mia Liu
Email: jliu379@jh.edu
Research Interest: Computational investigation of materials interfaces for energy and environmental applications
Mark Zhang
Email: zzhan332@jh.edu
Research Interest: Process optimization through modeling and machine learning
Anthony Mugavero
Email: amugave3@jh.edu
Research Interest: DFT and machine learning