Mathematics Alumni
Dr. Xiaojing (Ruby) Fu, assistant professor in Mechanical and Civil engineering at California Institute of Technology
Xiaojing (Ruby) Fu is currently an assistant professor in Mechanical and Civil engineering at California Institute of Technology, where she leads the group on Mechanics and Physics of Porous Media Flow. Her group combines mathematical theory, computation and laboratory experiments to advance our predicative capability of field-scale applications in a wide range of geoscience problems, including hydrology, gas hydrate systems and soil biogeochemistry, geologic carbon sequestration and geothermal systems.
Her research journey started at Clarkson, where she worked with Prof. Katie Fowler Kavanagh on groundwater hydrology problems for over three years through the Honors Program. Ruby received her BS summa cum laude in Applied Mathematics and Statistics from Clarkson University in 2011, and her MS in Computational Engineering (formerly known as Computation Design & Optimization) from MIT in 2014, and her PhD in Civil & Environmental Engineering from MIT in 2017. She is awarded the Miller Fellowship at UC Berkeley in 2018, where she spent two and half years learning about volcanology and earthquakes. Her background in applied mathematics has laid the foundation for her highly interdisciplinary work, where she currently works with a wide range of students and postdocs in the discipline of applied mathematics, physics, engineering and geology.
Dr. Freddie Amoah-Darko, Machine Learning Engineer at Unearthly Materials
Dr. Freddie Amoah-Darko worked with Prof. Diana White and currently is a machine-learning engineer at Unearthly Materials in Rochester, New York.
Dr. Veroni Jayawardana, Senior Scientist at Merck & Company
Dr. Veroni Jayawardana is a Senior Scientist at Merck & Company, located at West Point, Pennsylvania. She received her bachelor's degree in Mathematics from the University of Peradeniya, Sri Lanka, and M.S. in Mathematics from Clarkson University in 2012. She obtained her Ph.D. from Clarkson University in 2016, under the guidance of Prof. Sumona Mondal. Her research focused on cross-disciplinary methodologies involving general linear models, multivariate statistical analyses, data mining, and missing data interpretations. Dr. Jayawardana serves as a consultant and advocate of Chemical Manufacturing Controls statistics to technical specialists and managers in the company's pharmaceutical, biologic, and vaccine manufacturing. She is a key member of multiple teams developing, validating, and transferring bioassays and supporting stability analyses. In addition, she provides technical direction in tasks that include the design of experiments, dissection of data, statistical process control, design of sampling plans, and problem-solving.
Dr. Devin Kapper, Senior Data Analyst at IXIS Digital, LLC
Dr. Devin Kapper is a Senior Data Analyst at IXIS Digital, LLC., located in Burlington, Vermont. He received his Bachelor of Arts in Mathematics from Manhattanville College in Purchase, NY in 2011 and his Master of Science in Mathematics from Rensselaer Polytechnic Institute in Troy, NY in 2012. He obtained his Ph.D.from Clarkson University in 2018 working under the supervision of Drs. Sumona Mondal (Mathematics) and Shantanu Sur (Biology). His research focused on interdisciplinary methodologies that utilized classification, Bayesian inference, multivariate statistical analyses, and general linear models. Dr. Kapper serves as a consultant and analyst for Client Strategies within IXIS Digital, LLC., a company that contracts out to multiple clients to serve their business strategy needs. He is a key member in several client accounts responsible for the processing and analysis of digital data in order to make critical business decisions to inform areas of success, opportunities for growth, and assessment of current strategies to align with goals for future successes. In addition to providing insights into complex data sets, he is responsible for providing advice in the design of experiments, the collection of data, and a variety of problem-solving approaches in this field.
Dr. Vijay Kumar, Postdoctoral fellow, Columbia University
Email: vijay.kumar@columbia.edu
Academic website: http://vijaykumar18.github.io/
Vijay Kumar received his MS and Ph.D. in Mathematics, as well as an MS in Applied Data Science from Clarkson University in 2023. He was advised by Dr. Sumona Mondal, Dr. Suresh Dhaniyala, and Dr. Shantanu Sur. His areas of interest include Bayesian machine learning, spatiotemporal modeling, and causal inference, with applications to air pollution modeling and environmental epidemiology. He was named a Phalanx Fellow in 2023 and also received the Phalanx Leadership Award from Clarkson Phalanx, a top honorary society at Clarkson University. Additionally, he served as the founding president of the Pakistani Student Association at Clarkson University (PSACU). He is currently a postdoctoral research scientist at Columbia University’s Mailman School of Public Health in New York City.
Dr. Wen Li, Assistant Professor at Fordham University
Email: wli198@fordham.edu
Wen Li is currently an Assistant Professor at Fordham University. Prior to joining Fordham, she was an Assistant Adjunct Professor (postdoc 2019-2022) in Applied Mathematics at the University of California, Los Angeles. She received a Ph.D. in Applied Mathematics from Clarkson University in May 2019 under the guidance of Prof. Guangming Yao. Wen Li's research primarily revolves around the development of numerical methods for solving partial differential equations (PDEs) and their application to real-world problems, along with advancements in image processing techniques. Since 2015, she has collaborated with Prof. Yao on meshless methods for PDEs, data fitting, inverse problems, and environmental engineering applications, particularly in groundwater remediation, alongside Prof. Michelle Crimi.
Dr. Kalani Rubasinghe Kattadige, Lecturer, Department of Mathematics at SUNY Canton
Email: rubasinghek@canton.edu
Kalani received her Ph.D. in Mathematics from Clarkson University in 2023 under the supervision of Prof. Guangming Yao. Her research focused on developing and applying mesh-free methods based on radial basis functions for scattered data interpolation and solving various types of partial differential equations, including financial mathematical models. Additionally, her research explored neural network approaches for solving PDEs. Kalani is currently a lecturer in the Department of Mathematics at SUNY Canton, NY. Before this role, she worked as an adjunct assistant professor at St. Lawrence University in Canton from 2022 to 2023.
Dr. Dinushani Senarathna, Assistant professor of statistics at SUNY Oswego in Oswego, NY
Email: dinushani.senarathna@oswego.edu
Dinushani worked alongside Dr. Sumona Mondal. Dr. Shantanu Sur and Dr. Suresh Dhaniyala from 2018 to 2023. The title of her dissertation was "Application of Constrained Inference in Modeling and Analysis of Air Quality and Bio-Aerosol Data".Her primary research area is the development of order-restricted inference to find data trends across numerous fields. In addition, she collaborated with a few other departments at Clarkson University, all under the guidance of Dr. Sumona Mondal. Currently, she works as an assistant professor of statistics at SUNY Oswego in Oswego, NY.