Members of DynaDx
The technologies implemented by DynaDx require a
cross-disciplinary effort. We assembled a research and development
team that includes individuals with a range of expertise in physics,
applied mathematics, bioengineering, physiology, clinical medicine,
data analysis, and commercial software development. Members of our
management / product development / scientific advisory teams have
worked closely with each other in the past and have a productive,
ongoing record of innovative collaborations. Here we briefly introduce
the key members of the DynaDx group.
Yanhui Liu, Ph.D., is co-founder and CEO of
DynaDx. He has a longstanding collaborative relationship with other
members of the group. Dr. Liu is a statistical physicist. His work
includes the study of nonstationary economic time series (stock market
price fluctuations) analysis and physiologic dynamics. In the past
several years, working in the IT industry (Oracle Corporation), he has
developed additional expertise in database management and data-mining
techniques directly relevant to the technologies of the company. His
industrial experience as the developer of several commercial releases
of Oracle products is crucial to the commercialization process of our
Shengli Li is the Product Development Director of DynaDx.
Mr. Li holds master degree in both digital signal processing and computer
engineering. He has developed expertise in data analysis and commercial
software development for the past decade. Mr. Li also has extensive
industry experience in the position of senior
project manager and chief system architecture engineer, once worked for
AsiaInfo(Beijing), U-Know Software and Verizon.
Stella Chang is the Marketing Director of DynaDx. Ms.
Chang has more than 15 years experience in public relations and
marketing, and her expertise covers marketing, brand management,
crisis communications, and spokesperson training. She holds a MS in
Public Relations at Boston University and started her public relations
career at Elite Public Relations Consultants at Taipei in 1988, and
has served as Marketing Service Manager at Burson-Marsteller, Managing
Director at MDK Consultants, and Managing Director at LHC Porter
Novelli Consultants. Ms. Chang has helped many international brands
and corporations to build up their branding and business in the Asia
market. Clients served among others includes: Visa International,
Bayer, Dom Perignon, DuPont, HK Tourist Promotion Board, Hennessy,
Hugo Boss, Johnnie Walker, GSK, Lycra, Moet & Chandon, Microsoft,
Tag Heuer, Waltsons - International personal care chain stores.
Chung-Kang Peng, Ph.D., is co-founder of DynaDx. Academically, he is Co-Director of the Rey Institute for Nonlinear Dynamics in Physiology and Medicine at the Beth Israel Deaconess Medical Center (BIDMC) and Associate Professor of Medicine at the Harvard Medical School. He is also the Associate Director of the Research Resource for Complex Physiologic Signals (PhysioNet) funded by the National Institutes of Health (NIH). Dr. Peng has expertise in statistical physics and its application to the study of physiological measures. He has been working at the interface of statistical physics and biology since he was a graduate student, and published several of the most highly cited articles in this field during his graduate study. Over the years, he developed many useful computational techniques and published over 120 academic papers. These new approaches have a wide range of applications in physics, biology, medicine, and economics. His work has been cited more than 9,000 times.
Norden E. Huang, Ph.D., is the founding Director of the Research Center for Adaptive Data Analysis at the National Central University in Taiwan. He was former Director of the Goddard Institute for Data Analysis and Chief Scientist at the NASA Goddard Center. Dr. Huang is a Member of the National Academy of Engineering, a Member of the Academia Sinica (Taiwan), and a Foreign Mememver of the Chinese Academy of Engineering. Dr. Huang is the inventor of the Hilbert-Huang transformation (HHT) algorithm. The HHT is a highly efficient, adaptive tool for analyzing nonlinear, non-stationary data similar to those observed in physiological signals. The HHT was originally developed to study nonlinear random ocean waves and since has been applied to many different engineering contexts including long-term environmental data ranging from global temperature variations to machine vibration data. Recently, increasing number of biomedical problems also applied the HHT technique.
Vera Novak, M.D. Ph.D., is Associate Professor of Medicine at the Harvard Medical School and Director of the Syncope and Falls Laboratory (SAFE) at the BIDMC, Division of Gerontology. She has trained in transcranial Doppler sonography and studied cerebrovascular regulation in autonomic disorders at the Mayo Clinic in programs sponsored by the NIH and NASA, and served as the Director of the Autonomic Reflex Laboratory at the Department of Neurology at the Ohio State University before she joined Harvard. Dr. Novak has wide range of experience in the technical, physiologic and clinical aspects of the technologies being developed at DynaDx.
H. Eugene Stanley, Ph.D., is the Director of the Center for Polymer Studies and University Professor at the Boston University (BU). He is also the Professor of Physiology in the School of Medicine at BU. Dr. Stanley is an international authority on statistical physics, known for his research results at the interface between physics, biology and medicine. Science Citation Index has ranked him among the 100 most-cited physicists in the period 1981-1997. He is a Member of the National Academy of Sciences and a recipient of the 2004 Boltzmann Award presented by the International Union of Pure and Applied Physics, the highest prize in statistical physics. Dr. Stanley was the thesis advisor of Dr. Peng and Dr. Liu and has significant influence to their research. Their scientific collaboration continued to this date.
is a leading expert on ambulatory ECG monitoring. He has expertise in signal processing, data acquisition, and software and hardware development. His research interests include robust methods in pattern recognition and power spectral density estimation, automated arrhythmia and ischemia detection, artificial intelligence-based medical decision support, and heart rate variability. He has invented a wide variety of innovative algorithms for physiologic signal processing, including the EDR (ECG-Derived Respiration) technique; a method for atrial fibrillation detection based on quasi-continuous Markov process-like models; ECG-based indices of physical activity; the TRIM (Turning-point/Recursive Improvement Method) algorithm, a widely-used ECG compression algorithm; ARISTOTLE (a state-of-the-art arrhythmia detector that has been the nucleus of several successful commercial products); WAVE (an extensible interactive graphical environment for exploratory data analysis of digital signals, in use by researchers worldwide); and novel methods for robust estimation of principal components of continuous waveforms, such as QRS and ST waveforms in the ECG. Mr. Moody has had major roles in the development of most of the standard databases of digitized ECGs. He served as the chair of the Advancement of Medical Instrumentation (AAMI) Arrhythmia Monitoring Subcommittee.