The health system generates a tremendous amount of data - deeply specific data on individuals, and pattern behavior data across massive populations. Equipped with the right adaptive, predictive, and precise data science tools, Healthcare Enterprises and Health Providers can partner with A.I. to eliminate preventable sickness. Care management teams use us to deliver the right care, to the right person, at the right time.
Red Dog Capital
Teddy's career has been in leading high-growth, enterprise software product teams (Emissary.io, Clearwell, Signpost, GLG). He and Hai Po were classmates and good friends at MIT, although they never imagined they'd be starting a company together. But once they started learning about healthcare data they were hooked - a messy, giant data set in a messy, giant industry, with an opportunity to eliminate predictable sickness? They couldn't imagine a better use of their time or particular (peculiar?) mix of experiences. Teddy has previously interrupted his startup career with stints through Wall Street (Goldman Sachs), business school (UChicago) and strategy consulting (Bain), which were wonderfully educational and have reminded him to keep being an entrepreneur.
Hai Po Sun
Hai Po has spent over 20 years working with ultra dense and messy data sets. He has managed high frequency data analysis (JP Morgan, Amaranth, Wachovia), trading, building and owning quant trading strategies/platforms, undergrad and masters degrees in Computer Science, minor in cryptography from MIT. He considers all Science to be Data Science, and AI should really be called Augmented Intelligence. His driving force is to help teams solve problems that people care deeply about. Hai Po is also passionate about mathematics education and is a founding officer for the PROMYS Foundation, which supports talented young mathematicians.
Andrew has held senior legal and operational roles in the alternative asset management space for over 12 years. Most recently, he was a Managing Partner at Jamison Capital Partners, LP, with responsibility for operations, finance, legal, and compliance. He previously held similar roles at BAM Capital, LLC, Hutchin Hill Capital, LP, and at Millennium Management, LLC. Andrew was a member of Watchell, Lipton, Rosen & Katz’s creditors’ rights group from 2003 to 2006, and has also worked as a clerk for Judge Thomas L. Ambro of the U.S. Court of Appeals for the Third Circuit, and as an analyst at Wasserstein Perella & Co. He is a graduate of both Harvard College and Harvard Law School and is a member of the Board of Trustees of the Curtis Institute of Music, where he studied music composition.
Job Evers-Meltzer has over ten years of experience in data analytics. He graduated from MIT with a degree in Mathematics with Computer Science. Before pulseData, Job spent four years at an EdTech startup building an analytics engine to record and process millions of student activities each day. He also has a finance background and has worked on trading strategies for both bonds and stocks. At pulseData, Job manages the team’s cloud infrastructure ensuring that each data pipeline is able to efficiently crunch through health records for millions of patients.
Ollie is passionate about solving healthcare's greatest challenges. He started out at 16 working in the local hospital laboratory testing blood samples. Following a quick diversion to study at Cambridge University, he joined Rotamap, where he helped design and shape medical scheduling systems from the ground up. Establishing Rotamap as the UK's leading clinical scheduling tool. Ollie devised a series of KPI metrics and national benchmarking tools for hospital departments and has acted as an advisor to government medical bodies in the UK on productivity, service improvement and workforce intelligence. In his spare time Ollie also dabbles as a playwright, several of his works have received national tours in the UK.
Prior to joining pulseData, Chris worked at Google where he was the lead engineer for their patent similarity machine learning pipeline. Chris also partnered with his wife and Columbia University to create decision support system that makes medication recommendations for acute heart failure patients in the ICU. In his free time, Chris enjoys playing spike ball and long romantic walks in Riverside Park.
Minjoon works in field of computational neuroscience and data science. He received his undergraduate and graduate degrees in physics from MIT, and worked at the Salk Institute for Biological Studies and PeopleSoft Inc. He is a tenured faculty member at Drew University, and enjoys playing traditional Korean drums.
Ed has over 15 years experience developing predictive risk models in financial and tech industries. He was last at Samsung where he developed reinforcement-learning and online-learning models for mobile and logistics use cases. Prior to Samsung he was at Bank of America managing model-risk of investment models across Bank of America’s asset management businesses with assets under management in the hundreds of billions. Ed leads the analytics effort to develop ‘augmented-intelligence’ in healthcare, to help patients and healthcare organizations alike realize better health outcomes.
Jung Hoon Son
Dr. Jung Hoon Son is a board-certified pathologist, trained at New York Presbyterian-Columbia University Medical Center and Department of Biomedical Informatics at Columbia University. He has witnessed first-hand that healthcare in the U.S. has trended unfortunately towards neglecting the actual care of patients while also preventing care providers to do their jobs. As the Senior Bioinformaticist at pulseData, he brings his ceaseless yet pragmatic optimism (you will find him in positive spirits 99.9% of the time) to apply his informatics skills and clinical experience to help reverse this trend with this talented and passionate team. He enjoys watching endless Frasier re-runs with his wife, hiking, and dogsitting any pug we can find.
Xiaoyan's career in health care started from her brief working experience in pharmaceutical industry as a data analyst in China after she had graduated from college majoring in mathematics. She recently graduated from Columbia university with a master degree in Operations Research with concentration in Data Science. At pulseData, she helps with transforming huge messy health care data sets and modeling using our data pipelines and visualization toolkits.
While studying for her M.S. in Biomedical Sciences at Tufts University School of Medicine, Lauren became interested in the potential that data analytics and AI has to transform medicine. After graduating, she studied statistics and data science independently and with a tutor. Prior to working at pulseData, she gained programming experience through an internship in the health tech field. She is excited to empower clinicians with tools to make data-backed decisions. In her free time she enjoys hiking and exploring New York City.
Tia graduated from the Operations Research Master’s program at Columbia University. She received her undergraduate degree in mathematics and economics with Magna Cum Laude from UCLA. Tia has worked with various finance firms, including Private Equity and Hedge Funds. She plans to change the world one model at a time within pulseData. She loves finding out the best places to eat in Manhattan.