Molly Liu Email and Phone Number

Seamlessly integrate AI technologies across every facet of our organization, empowering teams with cutting-edge tools and insights. Through collaborative innovation and strategic implementation, we aim to democratize AI, fostering a culture where every department harnesses its potential to enhance efficiency, drive innovation, and deliver unparalleled value to our company's mission and stakeholders.

Government Programs Quality - HEIDS Analytics and Insight Team• Deliver analytics and artificial intelligence-based business insights to improve star measure performance; • Focus on part C measures-CDC/COL/BCS gap closure optimization; personalized quality and telehealth within STARs population; • Responsible for identifying and designing local/national strategies impacting the measure and achieving 4+ Star performance;• Review and analyze Star measure performance, involving key stakeholders in action and remediation planning;Support the provider strategy through general segmentation and measure targeted segmentation;•Moving 14% of membership to 4 Stars Plan by enhancing member/provider cohort definition and associated diabetics member promotion program intervention models; conducted campaign effective studies, evaluated prediction model performance and bias risk, regional pilot design and implementation, provider incentive program development;•Partnership with stakeholders to develop reporting tools to effectively monitor and process business insights for downstream consumption using SQL Server, SAS, Python, Hive, Snowflake and Airflow

•Provided statistical support to clinical trials and quality measure evaluation projects; performed data cleaning, EDA, feature engineering, transformation, validation and predictive modeling on large claim/EHR datasets using R and SAS•Improved data quality by 20% and prevented misdiagnoses using natural language processing (NPL) models to analyze unstructured EHR notes, identifies inconsistencies between EHR and self-report clinical information for 100,000 data rows•Led a collaborative research project with United Health Group; identified missing prescribing opportunities and quantified fill pattern discrepancy by performing trend analysis on drug utilization among people with type 2 diabetes•Developed hospital performance disparity measure for over 4000 hospitals in US by applying generalized linear model to calculate readmission rate differences; advised CMS on Medicare/Medicaid healthcare improvement program implementation•Accelerated program execution by utilizing visualization tools such as Tableau/Excel/PowerPoint to present monitoring report during weekly meetings, communicated primary results to cross-functional stakeholders and provided insights-driven solutions

•Build time series model to track and forecast COVID-19 cases, provided real-time insights by publishing customized interactive reports and dashboards on the government website•Improved work efficiency on daily reporting process by developing SAS macro to automate data entry process•Optimized data runtime on congregate setting address checking process by updating the logic design in the current R scripts

•Drove successful cooperation among various leading labs in advancing the company’s program by coordinating productive internal discussions and delivering clear guidance on job responsibilities•Obtained funds for the Immunoproteasome Inhibitors project by completing and presenting market research reports; finalized the drug development proposal for the Weill Cornell Medicine Team and external investors

•Conducted a literature review on time-dependent confounding in randomized controlled trials in the field of public health•Identified potential analysis bias caused by COVID-19 as a time-dependent confounder on the estimation of treatment effects •Estimated the causal effect of a drug on the survival of HIV-positive patients by running simulations on the multicenter AIDS cohort study datasets•Completed a proposal on the comparison of gold standards for analyzing randomized controlled trials, specifically the evaluation of differences between intention-to-treat methods, per-protocol (PP) and as-treated analysis

• Coordinated the acquisition and integration of data from EPIC, improved searching efficiency by transforming and updating patient information to customer level based on doctor’s note• Calculated opioid-abused patients hazard ratio and quantified the overall survival experience under different treatments by fitting data into regression models and performing hypothesis tests

My main focus is to collect representative data based on farmers market customer who are based in New Haven area. By translating and analyzing data, my client can to be more informed about customer demographics and preferences via clear data visualization. Aiming to construct new financial model to reduce client’s expenses by 10% .

• Expanded 27% of market share in mainland China by conducting customer behavior analysis from historical sales pattern; utilized Excel formulas and pivot table for data analysis, summarized customer preference and market trend• Diagnosed the potential workflow by creating period reports for improvement; automated the college application tracking process by launching the new online client service templates• Increased college admission prediction accuracy by 40% by developing new model to predict the likelihood of successful application to potential college choices

Understood clients' needs and analyzed data to help them make better choices on their investment portfolio, highlighted the key values of various financial products. The main achievements were increasing team monthly production by 70% by forecasting and implementing strategic investment plans for clients, and developing marketing campaigns for local Asian-American communities.