Passionate about ?
Join us at Princeton MediHack to build innovative solutions for healthcare problems with hundreds of other hackers. During this 36-hour event, students will team up to collaborate on a project to be presented to a panel of judges by the end of the weekend. Experts in the field of medicine, including doctors and healthcare entrepreneurs, will serve as speakers and mentors.
PARTICIPATE IN ONE OF FOUR TRACKS
ON CHALLENGES SUCH AS
>> "Propose a solution that effectively retrieves, organizes, and optimally uses data for food- and nutrition-related problem solving and decision-making."
>>“Develop a mathematical model of learning for individuals with depression using PsyNeuLink, an open-source software Python environment designed to build models of relationship between brain function, mental processes and behavior.”
>> "Identify a potential new drug intervention using DeepChem, a machine learning approach to drug discovery."
>> "Propose a design-thinking solution for youth tobacco prevention and prescription drug abuse prevention."
FRIDAY, APRIL 20
|Registration||Frick Chemistry Lobby|
|Opening Ceremony||Taylor Auditorium|
|Pitching Session, Team Formation||Taylor Auditorium|
|Hacking begins||Taylor Auditorium|
|Workshop: Design Thinking|
SUNDAY, APRIL 22
|Finalist presentations||Taylor Auditorium|
|Awards ceremony||Taylor Auditorium|
SATURDAY, APRIL 21
Workshop: Analyzing A Novel Chemical Dataset
Workshop: Machine Learning for Clinical Data Analysis
|Workshop: Data Analysis and Causal Inference for Genomic Medicine|
Workshop: Biodesign, Biodevices, and Prototyping
|Workshop: Computational Modeling of Psychological Function|
|Workshop: Pitching 101|
OUR KEYNOTE SPEAKERS
BON KU, MD, MPP
Ku, MD, MPP is the Assistant Dean for Health and Design and an Associate Professor at the Sidney Kimmel Medical College at Thomas Jefferson University. He is a practicing emergency medicine physician and the founder/director of the first design thinking program in a medical school. His innovative program that teaches future physicians to apply human-centered design to healthcare challenges has been highlighted in The New York Times, New England Journal of Medicine Catalyst, The Huffington Post, The Philadelphia Inquirer, Next City, and Architectural Digest.
Dr. Ku has spoken widely on the intersection of health and design thinking (TEDx, South by Southwest, Mayo Clinic Transform, Stanford Medicine X, Association of Collegiate Schools of Architecture) and serves on the Design and Health Leadership Group at the American Institute of Architects. He received the Health Care Innovators Award (2016) from the Philadelphia Business Journal and made the Best of Philly 2017 list in Philadelphia Magazine. Dr. Ku holds a master’s degree in Public Policy from Princeton University, MD from Penn State and a bachelor’s degree in Classical Studies from the University of Pennsylvania.
NORMA PADRÓN, PhD
Dr. Padrón is a health economist and overall data nerd. She is Associate Director at the Main Line Health Center for Population Health Research, and Assistant Professor at Thomas Jefferson University College of Population Health. She is also the chair of the industry board at the National Science Foundation Center for Health Organization, an industry-university national research collaborative focused on advancing the implementation of academic insights into health care delivery.
Previously, she was a Research Scientist at The New York Academy of Medicine in the Center for Health Innovation , and Assistant Professor at the Icahn School of Medicine at Mount Sinai in the Population Health Science and Policy Department.
Her research agenda aims to identify methodological strategies in which the use of large (open) datasets can be used to improve the design, implementation and evaluation of population health strategies for health systems. Her goal is to bring together methodologies generally used in economics, data science, public health research and systems design to reduce health disparities and improve the effectiveness of health delivery models.
Craig Limoli is a former strategy consultant for IBM Watson Health, where he worked on a strategic partnership that brought together 60 provider organizations on one software platform. This is where Craig saw the challenges of information access for physicians.
Craig then left IBM for Wharton's MBA program, where he met his co-founder, Justin Larkin, an MD/MBA from Penn and Stanford, and founded WellSheet, a clinical intelligence tool for physicians driven by machine learning. WellSheet has since launched its product nationwide via go-to-market partnerships, been recognized by the federal government, and raised venture capital financing from BioAdvance, Newark Venture Partners, Real Life Innovations, and the Princeton Alumni Entrepreneurship Fund. Craig graduated from Princeton in 2012 with a Bachelor of Arts degree in Economics.
YAEL NIV, PhD
Dr. Yael Niv is a computational cognitive neuroscientist at the Psychology Department and the Princeton Neuroscience Institute. She received her MA in psychobiology from Tel Aviv University and her PhD from the Interdisciplinary Center for Neural Computation at the Hebrew University in Jerusalem, having conducted a major part of her thesis research at the Gatsby Computational Neuroscience Unit in UCL, London. Her lab's research focuses on the neural and computational processes underlying reinforcement learning and decision-making, with a particular focus on representation learning, which involves learning, attention and memory processes. She recently co-founded the Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry.
Shehram Hejazi is a partner at BioAdvance, a life sciences venture capital firm that invests in digital health, diagnostics, and devices. He is the Founder and CEO of Optimeos Life Sciences, serves as Chairman of the Pediatric Device Consortium fund at CHOP and also Chair of the Board at Integral Molecular, Inc. Shehram is a Princeton Professor of Entrepreneurship.
Dr. Anita Gupta is currently at Princeton University as a Liechtenstein Institute Fellow and Robertson Fellow at the Woodrow Wilson School of Public and International Affairs. She has been faculty at both University of Pennsylvania School of Medicine and Drexel University College Medicine in Philadelphia where she served as Vice Chair, Associate Professor as a board-certified anesthesiologist, pain specialist, pharmacologist, and author of several books. Dr. Gupta has served as an advisor to the FDA on the AADPAC Committee on pain products and opioid medications specifically during the national opioid public health discussion.
Tony Sacksteder is the Director of Mechanical Engineering at Smithwise Inc, a medical device design and development firm with offices in Philadelphia PA and Newton MA. Smithwise provides their clients with full ideation, usability, engineering design and supply chain development capability to go from a concept or a discovery through prototyping and clinical trials to a marketable commercial device.
Prior to Smithwise, Tony has worked with innovators and small businesses designing and building devices and objects for close to 30 years. With a background in science and engineering, training as a fine artist and sculptor and several years working in film and video production building models and special effects has provided him a diverse and unique skill set. As an engineering design leader, he has built numerous complex systems, managed the teams that developed them, and published a dozen unique patents.
Joe Studholme is the Founder and Managing Partner of PIRXA, a health care analytics company based in Princeton that collaborates with health care organizations to effectively use patient data to more accurately prescribe scheduled medications including opioids. He is a member of the Princeton class of ’84.
Daniel Notterman studies the genetic, epigenetic, and environmental interactions that affect health outcomes in children. He is a clinically trained pediatrician and a Professor of Molecular Biology at Princeton.
Karl Leswing is the Technical Lead for Machine Learning at Schrödinger, and core contributor to DeepChem. Last year he was co-author of MoleculeNet A Benchmark for Molecular Machine Learning. He concentrates on applying machine learning techniques to real world small molecule development.
Subhro Das is a Research Scientist in AI for Healthcare at IBM T.J. Watson Research Center. He develops machine learning and statistical signal processing based predictive algorithms for a broad variety of healthcare applications. As a researcher at MIT-IBM Watson AI Lab, he is also working on modeling optimal treatment dynamics of patients in ICU. He received MS and PhD degrees in Electrical and Computer Engineering from Carnegie Mellon University. His PhD dissertation was awarded A.G. Jordan Award by CMU and Best PhD Forum Award by IEEE Signal Processing Society.
Meenakshi Chatterjee is a Postdoctoral Scientist in Discovery Sciences at Janssen R&D. She works on identifying novel biomarkers for drug discovery using machine learning based prediction models. As a member of Janssen Autism Knowledge Engine (JAKE), she also develops novel quantitative measures to diagnose Autism Spectrum Disorder from different biosensor signals, using time series and signal processing based methodologies. She received her PhD in Electrical Engineering from Yale University. As a Pierre W. Hoge Fellow, she conducted her thesis research at the Institute for Systems Biology in Yale, where she engineered microfluidic devices and performed quantitative modeling to predict stress outcomes in live single cells.
Dr. Salman A. Baset is currently working as CTO Security, IBM Blockchain Solutions. He oversees the security, compliance, and identity management of blockchain solutions being built by IBM in collaboration with partners such as Walmart and Maersk, and interfaces with client CISOs and CIOs on blockchain solutions and their security.
Yoonyoung is a postdoctoral research staff member at IBM Research. Her research is focused on evaluation of AI applications and network analysis using healthcare data. She is a pharmacist by training, and received a MS in Biostatistics and a ScD in Epidemiology from Harvard School of Public Health.
Dr. Topaloglu works on next generation computing and cognitive systems design at IBM. He has 20 issued US patents on semiconductor devices and around fifty international publications. He is serving on the Internet of Things Invention Disclosure Board for IBM and has evaluated close to 200 submissions so far. He is well versed in hardware design, software design, computational methodologies, and semiconductor technology. He has an IBM certification in design thinking and is almost done with his executive MBA education. After internships at Nortel Networks, Alcatel Microelectronics, and Qualcomm, since 2005 he has worked at AMD, GLOBALFOUNDRIES and IBM. He obtained his B.S. in Electrical&Electronic Engineering at Bogazici University, M.S. and Ph.D. at University of California San Diego in Computer Science and Engineering. He has a best paper award at ISQED. He serves as a technical advisory board member at Semiconductor Research Corporation for IBM. He has served in the technical program committees of DAC, DATE, ICCAD, ISPD, ISQED, and SLIP. He is organizing ACM/IEEE DAC Workshop on Machine Learning in 2018. He is an IEEE Senior Member.
Xiaoyan Shao is currently a research staff member at IBM T. J. Watson Research Center. She is currently working on a big geospatial data and analytics platform called IBM PAIRS, which is linking data in space and time. She has been with IBM since 2002 and has worked on various research and development projects in silicon technology, new photovoltaic material, memory technology, and lately in big data.
Frequently Asked Questions
WHAT IS PRINCETON MEDIHACK?
In general, a hackathon is an event during which people come together to brainstorm ideas and build products within a short period of time. At Princeton MediHack, we aim to bring together hackers of various disciplines to solve problems connecting medicine, technology, research, policy, and entrepreneurship. We’ll provide a place for students to drop everything and concentrate on a project for 36 hours with a team.
WHO CAN PARTICIPATE?
Undergraduate students, graduate students, and working professionals with interests in medicine, entrepreneurship, engineering, and design thinking are all encouraged to apply. Princeton students as well as students from other universities can join. At this time, high school students cannot apply.
HOW DO I FIND A TEAM?
There will be team building sessions where you will be able to find team members who have similar interests and problems to address. We encourage a team size of 4 people (if you want a team of 5 people please speak to the organizers during check-in).
WHERE IS PMH TAKING PLACE?
PMH will take place in Frick Chemistry Laboratory.
I KNOW NOTHING ABOUT CODING. CAN I STILL APPLY?
Yes! The Design Thinking track in particular requires no coding at all. If you’d still like to join the other technical tracks, go for it! There will be workshops and talks that you can attend, as well as mentors to answer your questions. We encourage teams to have members with a diverse skill set, so you will have your team members to help out. Learning is a big part of PMH!
CAN I GET INVOLVED IF I’M NOT A STUDENT?
Yes! Princeton MediHack is looking for clinical mentors, technical mentors, and advisors. If you’re interested, please send us an email at email@example.com
WHEN IS THE APPLICATION DEADLINE?
We are now taking applications until the event date, April 20!
WILL THERE BE TRAVEL REIMBURSEMENTS?
To be determined!
WHAT DO I HAVE TO BRING?
We will be providing breakfast, lunch, dinner, snacks, and beverages. Please bring your student identification card, as well as your electronics.
WHERE WILL I SLEEP?
Host arrangements will be available to undergraduates from other universities. Details coming soon. A majority of hackers stay overnight in the building, so if you’re planning on it, we recommend you bring toiletries and a sleeping bag. There will be a designated quiet room in the building for those who would like to sleep. We care about your health. 🙂
ANY OTHER QUESTIONS?
All questions may be directed to firstname.lastname@example.org.
Thanks to the following partners for their financial support!
If interested in partnering, please send us an email at email@example.com.
SPECIAL THANKS TO
Drop us a line at firstname.lastname@example.org, and our team will get back to you asap!
Frick Chemistry Laboratory
Princeton, NJ 08540