Teal Dowd
PhD Candidate, Materials Engineering
dowdt@purdue.edu
B.S. Mechanical Engineering, Purdue University (2018)
Teal Dowd is a Materials Engineering Ph.D. student at Purdue University. His research focuses on new methods of selective laser sintering leveraged to combine continuous fiber within a polymer matrix. With a love of getting his hands “dirty”, this hands on project is combining mechatronics, electrical, computer, and materials engineering into a single project. Dowd received his undergraduate degree in mechanical engineering from Purdue in 2018, and transitioned directly into a Ph.D. program working with Dr. Mansson in the MD Lab. When he is not in the lab tinkering, Dowd enjoys adventuring in the outdoors including rock climbing, and DIY home improvement projects.
Sang Bin Moon
PhD Student, Electrical and Computer Engineering
moon182@purdue.edu
B.S. (2014) Korea Advanced Institute of Science and Technology, Mechanical Engineering
B.S. (2014) Korea Advanced Institute of Science and Technology, Business and Technology Management
M.S. (2016) Columbia University, Computer Science
Sang Bin is an Electrical and Computer Engineering PhD student at Purdue University where he is co-advised by professors Abolfazl Hashemi (ECE) and Jan-Anders Mansson (MSE/ChE). He joined the Manufacturing Design Lab in November 2022. He will work on cost modeling of novel manufacturing process using machine learning methodologies. His research interests are in reinforcement learning, online learning, cost modeling and data synthesis. Previously, he worked as a Game AI researcher at NCSOFT in South Korea, working on reinforcement learning research and AI development for proprietary games and automatic financial execution. In his free time, he likes to exercise, travel or study random things on the Internet.
Daniel Castro
PhD Student, Computer Science
dcastrom@purdue.edu
B.S. Statistics, National University of Colombia (2022)
Daniel is a Computer Science PhD student with a background in Statistics from the National University of Colombia, where he graduated in November 2022. His passion for sports, both as a spectator and a participant, led him to focus on Sports Analytics. His current research centers on developing predictive tools for soccer, using computational methods to manage athlete’s time and space on the field. Daniel gained valuable experience in this field, as an intern in the Data & Analytics department of the International Olympic Committee. In his free time, Daniel enjoys sports, indulging his love for movies, and exploring new destinations, all while being a dedicated cat person.
Adeline Ripberger
PhD Student, Materials Engineering
aripberg@purdue.edu
B.S. Mechanical Engineering, Rutgers (2023)
Adeline is a PhD student in Materials Engineering who joined the Ray Ewry Sports Engineering Center in August 2023. She received her Bachelor’s degree in mechanical engineering from Rutgers University. Her research focuses on tuning sports equipment in order to optimize feel and control for athletes. She is currently investigating the mechanical behavior of tennis rackets to study relationships among physical properties and players’ preferences. Outside of the lab Adeline enjoys cycling, hiking, and watching college basketball.
Alyson Pickering
Masters Student, Materials Engineering
pickera@purdue.edu
B.S. Materials Engineering, Purdue University (2024)
B.A. French, Purdue University (2024)
Alyson Pickering is a Materials Engineering Masters student at Purdue University. Her research focuses on technical cost modeling and materials characterization of recycled hybrid molded composites. This project combines the mechanical performance of automotive parts with the costs associated with their manufacturing and seeks to find the balance between cost and performance. Alyson joined MD Lab as an undergrad and has been working towards her masters since the spring of 2024. Outside of lab, Alyson enjoys spending her time outside enjoying nature with hiking or training for triathlons.
Gopal Chitalia
Masters Student, Civil Engineering
gchitali@purdue.edu
B.Tech. Computer Science, International Institute of Information Technology – Hyderabad (2019)
Gopal Chitalia is a Master’s student in Civil Engineering at Purdue University, advised by Prof. Jan Anders Mansson. His research focuses on fault detection in motors using deep learning, in collaboration with Wistron, and using technical cost modeling to select optimal locations for manufacturing plants across the USA. Additionally, Gopal works with Prof. Junjie Qin on optimizing power networks through transfer learning with large language models. His past roles include positions at the Center for Building Science Lab and the Smart Grid Research Unit. With significant industry experience at ClevAir and Growthworks.ai, his work enhances energy efficiency and machine learning, leading to notable advancements in energy prediction, with publications in Applied Energy and Nature Scientific Data. In his leisure, Gopal enjoys chess, squash, and passionately supporting Chelsea Football Club.