Our Boston program is a little different where we leverage the city of Boston and all of it’s resources. Classes are located at nearby universities such as MIT, Harvard, Simmons, or other elite locations. No matter the course, you’ll experience a buzzing campus filled with fellow bright, ambitious, energetic students.

See below for more information on the Summer Springboard instructors in Boston!

Medicine & Healthcare

Dr. Enrique Valdespino, MD, MSc

Most recently, Dr. Valdespino has been recruited by Doctors Without Borders to provide medical care where it is most needed, and is awaiting mission placement. Dr. Valdespino graduated from Harvard Medical School with a Master of Medical Sciences in Global Health Delivery. Prior to Harvard, Enrique worked as a physician with Compañeros en Salud México (CES), a sister organization of Partners in Health, after he completed his medical training. At CES he worked as a Regional Supervisor to support primary care physicians in charge of rural clinics in non-accessible areas. In this role, he addressed challenges in regards to medical care delivery, clinic management, and community relations.

Genetics

Summer Morrill and John Replogle, Ph.D. candidates

Summer Morrill and John Replogle are Ph.D. candidates in Biology at Massachusetts Institute of Technology.

Summer is an accomplished researcher with diverse laboratory experience. Her research at MIT includes studying the effect of gene dosage on genome maintenance as well as uncovering the origin and maintenance of haploinsufficiency in eukaryotic organisms. Summer graduated from Tufts University summa cum laude with highest thesis honors.

John is also a talented researcher and has written multiple publications. At MIT, he has researched aneuploidy in primary cells versus cancer cells. His findings were published in Cancer Cell. John holds a Bachelor in Molecular Biology as well as a minor in Mathematics from Pomona College.

Robotics

John Keszler, Ph.D. candidate

John Keszler is a Ph.D. candidate in Electrical Engineering and Computer Sciences (EECS) at Massachusetts Institute of Technology. John was part of the Harvard Undergraduate Robotics Club and led a team of 20 people to design and build the next generation of Mars rovers that will one day work alongside astronauts exploring the Red Planet. He has also implemented machine learning techniques for autonomous soccer playing robots. John graduated from Harvard University cum laude in S.B Electrical Engineering with Honors.

Psychology & Neuroscience

Adam Morris, Ph.D. candidate

Adam Morris is a Ph.D. candidate and instructor in psychology at Harvard University. He received his B.S. in psychology from Brown University, where he graduated magna cum laude with honors. Adam specializes in social-emotional learning. Most of us spend decades of our life in school, and yet we are never taught the most meaningful thing: how to be with other people, in a healthy and fulfilling way. Adam seeks to understand the social-emotional skills that support a deep and nourishing social life, and to help people develop those skills. Adam has received numerous awards for his research and teaching, including the prestigious National Defense Science and Engineering Fellowship and the George W. Goethals Teaching Prize. When he’s not thinking about social-emotional learning, you might find Adam hiking in the White Mountains, rock climbing, dancing, or playing chess in Harvard Square.

Business & Entrepreneurship

Michellana Jester, Ed.D., M.P.P.

Michellana Jester is a Lecturer and GLab Course Manager at the MIT Sloan School of Management. She is responsible for leading the design and delivery of MIT Sloan’s largest project-based course, as well as supporting teams of student entrepreneurs around the world. Michellana has a master’s degree from Harvard University and a doctorate from Columbia University.

Artificial Intelligence

Shubhendu Trivedi, Ph.D.

Dr. Shubhendu Trivedi is a researcher at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. His research interests include Metric and Similarity Learning, Low-Shot Learning, Group Equivariant Neural Networks, and Structured Prediction. He received his Ph.D. from the University of Chicago where he earned a prize for his teaching in the Computer Science department. Dr. Trivedi was also a fellow at the Institute for Computational and Experimental Research in Mathematics at Brown University. He has been published in numerous academic journals for his work on machine learning and deep neural networks.

PS – If you don’t see an instructor for your preferred academic course listed, don’t worry. More information will be readily available soon. We just wanted to share a sneak peak now! 

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