Iris Chin Email & Phone Number

Chicago, Il, Us

San Francisco, California, Us

San Francisco, California, Us

• Develop and implement NLP pipelines, using techniques ranging from regex-based rules to fine-tuning pre-trained language models (e.g., clinical-longformer), to extract information from unstructured clinical text for commercial and research use-cases in the neurological and urological disease spaces.• Transform and combine structured information from different large real-world data sources (e.g., EHR and claims) to create data modules as DaaS products, enabling the execution of real-world studies of targeted diseases by life science collaborators. • Execute feasibility studies utilizing real-world data to assess commercial opportunities with external partners.• Collaborate with internal product and medical stakeholders to use data-driven, analytical approaches (e.g., evaluating cohort sizes and availability of key outcome metrics) to identify and target opportunities for development of DaaS products in the neurology space.

Philadelphia, Pennsylvania, Us

• Develop and execute data-driven approaches to optimizing clinical-stage therapeutics for Parkinson's Disease • Build and execute analysis workflows (from data querying and cleaning, to exploratory and descriptive analyses, to statistical analyses/modeling) to drive insight discovery related to clinical data (e.g., identify responsive subpopulations, detect anomalies, and optimize future clinical trials)• Disseminate key analysis findings to internal and external stakeholders to help drive business and strategic goals• Work with data curators and engineers to build product features that improve our data ecosystem and facilitate analysis workflows (e.g., the development of tools for integration of multiple datasets while ensuring data quality)

Philadelphia, Pa, Us

• Coordinates and works with interdisciplinary clinical teams and business stakeholders to create end to end solutions on quality improvement projects focused on: improving clinical quality, improving patient safety, streamlining/optimizing operations, and reducing costs. • Independently contribute to projects and data requests by gathering requirements, developing metrics, retrieving data, ensuring validity of results, and creating data visualizations for the continued surveillance of outcome/process changes via programming languages such as SQL and R• Creates innovative and appropriate data solutions and data analysis for the measurement of clinical processes and outcomes

Storrs, Ct, Us

• Independently developed dissertation project that examined pragmatic reasoning in children with autism spectrum disorder (ASD). Designed and executed experimental study, collected and analyzed data (e.g., using non-parametric statistics, ANOVA, logistic regression, etc.), and presented findings at international conferences• Contributed to multiple projects (e.g., investigating optimal outcomes in children with ASD) involving pre-existing datasets by using R packages (e.g., dplyr, ggplot2) to (1) clean and extract relevant variables from data outputs with over 200 variables, (2) aggregate and transform data from different sources, (3) perform appropriate analyses, and (4) create conference- and publication-ready data visualizations • Taught 50 undergraduates to collaboratively design and execute their own experimental studies and to collect and run appropriate statistical analyses on their data. Served as team leader in coordinating and managing their different projects.• Supervised undergraduate research assistants to ensure quality of data is maintained across lab projects• Helped create lab protocols that detailed coding and data entry procedures for research assistants• Wrote, and ensured adherence to, IRB protocols governing human subjects research with clinical populations

Doctor Of Philosophy (Ph.D.), Psychological Sciences

Education record

Master’S Degree, Psychology

Bachelor Of Science (B.S.), Psychology