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: https://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. 

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