Edwards LifeScience Clinical & Medical Affairs Operational Excellence Award (2023)
For developing an automatic report generation program directly from the MEDIDATA RAVE database.
FDA CDRH Excellence in TPLC Regulatory Decision Making Award (2021)
For developing machine learning based Risk-Prediction model for FDA Establishment Identification Inspection.
FDA CDRH Excellence in Scientific Research Award (2019)
For development of rigorous statistical approaches for bioresearch monitoring (BIMO) site selection process and a tool called BIMO likelihood-ratio test inspection statistical software.
Propensity score-integrated power prior and PS-integrated composite likelihood approaches for leveraging real-world data in clinical studies.
MatchIt provides a simple and straightforward interface to various methods of matching for covariate balance in observational studies.
This demo introduces basic LRT method and applications of LRT methods to drug/device data in post-market safety surveillance
The goal is to create an adverse events data frame for further LRT analysis after querying and wrangling the JSON files from FAERS database
LRT method, via an extensive simulation study, retains good power and sensitivity for identifying signals
LRT Signal Analysis Application with dynamic parameters, such as name of drug, date range, and max number of events
Protein sequences alignment dynamic dashboard. Mini-map can be used as a brush selector and concensus is made of the model of Amino Acids of proteins.
Medical Product Outsourcing (MPO) magazine recently released "The 2021 MPO Top 30 Medical Device Companies Report". This visualization shows the detailed information of these companies - total revenue, profit change, revenue per capita, etc.
This visualization is based on the chart selection diagram and the article "4 pillars of data visualization: distribution, relationship, composition, comparison"
Ridgeline plot allows greater precision for a given vertical space at the expense of occlusion (overlapping areas)
Traveling salesman problem (TSP) is an NP-hard problem in combinatorial optimization, important in theoretical computer science and operations research.