
Our Team
Our Complementary and Collective
Experiences of Evidence Generation
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Sukyung Chung, PhD, MPH, PBharm
Co-Founder, Chief Executive Officer
Health economist with 25 years of experience in RWE and HEOR in academic institutions, community healthcare systems and pharmaceutical consulting.
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I led cross-functional teams in fast-paced consulting research firms, collaborating with pharmaceutical industry sponsors. I managed projects throughout the entire spectrum from planning (evidence strategy, proposal), study design (protocol, SAP, feasibility assessment), and execution (data management, statistical modeling, output interpretation, quality control) to dissemination (report, presentation, publication).
As an investigator in academic settings, I led multidisciplinary teams, partnering with physicians, statisticians, engineers, administrators, and social scientists to conduct clinical and observational research assessing healthcare interventions and delivery innovations.
I enjoy working with data and solving problems. I maintain hands-on data management skills and knowledge of cutting-edge analytical approaches. As an expert in making sense of RWD, I find that RWE—when derived and interpreted properly—provides intriguing and powerful solutions for complex problems health systems encounter.
When I am not in the office or doing chores, I bike, run, swim, and practice acting.
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Bong Chul Chu, PhD, MHA
Co-Founder, Chief Scientific Officer
Biostatistics leader with 25 years of experience in clinical trials, RWE, HEOR analytics, and pharmacoepidemiology in pharmaceutical, consulting, device and industries
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As a methodologist and biostatistician, I have expertise in working on machine learning algorithms, linear and nonlinear mixed models, propensity score methods, indirect treatment comparisons, network meta-analysis, longitudinal data analysis, joint mixture models, marginal structural models, advanced survival analysis, trajectory analysis, and missing data imputation and their applications in late-stage clinical trials, RWE, HEOR, and pharmacoeconomic studies. I have published ~50 peer-reviewed journal articles and given over 80 presentations and abstracts.
In the past 25 years, I have served as a lead biostatistician with increasing levels of responsibility and leadership at GRAIL LLC, Gilead Sciences, Merative (formerly IBM Watson Health), Genesis Research, and Evidera/PPD.
I completed a doctoral degree in Health Services Research with a concentration in biostatistics and epidemiology from St. Louis University and a master’s degree in health services administration from Washington University in St. Louis.
During my leisure time, I enjoy hiking with my family and playing basketball and tennis. I am a music enthusiast, collecting vinyl records in genres such as Blues, Jazz, Rock, Electronica, Folk Music, etc.
Biostatistician with experiences in biotech research and development, and passion for contributing to data-driven decision making in healthcare.
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Esther Ki, MPH
Lead Programmer
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I am proficient in statistical programming languages such as R and SAS and have extensive experience in data analysis. I have expertise in data processing (cleaning, manipulation, extraction, and visualization) and advanced statistical modeling and machine learning.
With over five years of professional experience in the biotechnology industry R&D settings, I have sharpened my analytical and problem-solving abilities in the field of drug development. My role in these companies has involved implementing statistical analyses to support research and development efforts, contributing to the advancement of innovative biotechnological solutions.
I am passionate about using my skills to contribute to data-driven decision-making processes within the healthcare sector.
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Christina Wassel, PhD, MS
Head of Epidemiology and RWE Analytics
Epidemiologist and biostatistician with experiences in RWE and HEOR strategy and research design, execution, and dissemination in pharmaceutical and academic settings.
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As a principal investigator, I consistently procured independent NIH grant to study risk factors for, and prevention of, cardiovascular diseases, and disseminated research findings in presentations at study meetings, seminars, and national conferences, and publications in peer-reviewed journals.
As an epidemiologist, I have extensively worked in interdisciplinary teams, leading study design and methodological approaches, sample selection, data collection, and protocol development for studies using real-world data (e.g., registry, patient-reported outcomes, electronic health records, hospital discharge, and claims) and health economics and outcomes research. These studies covered therapeutic areas, including nephrology, neurology, rare disease, oncology, genetics, and cardiovascular disease, as well as medication adherence and treatment patterns.
As a statistician, I have over 20 years of experience in advanced statistical methods and health economics modeling including but not limited to multivariate linear and logistic regression, survival analysis, frailty models, risk prediction, meta-analysis, complex sampling analysis, propensity score analysis/matching, mixed models, generalized estimating equations, generalized linear models, and power and sample size calculations. I program in SAS (20+ years), Stata, and R, and other genetic and complex sampling design analysis software packages and databases.
Prior to joining CNC, I held several leadership roles in national organizations such as Fortrea, ICON Plc, and Premier Inc as a Senior Director, and directed and taught several medical, graduate and undergraduate courses as a professor. I have a vast amount of project management, leadership, and staff supervision and development experience (up to 12 direct reports) in industry and academic positions. I enjoy working on business development, evidence strategy, and client engagement.