

Dual-credentialed leader (MBA Data Analytics & M.S. Biostatistics) with 10+ years of experience directing clinical data strategy for complex Phase I/II CAR T-cell therapy portfolios. Expert in transforming raw clinical data into regulatory-ready assets by leading cross-functional teams consisting of Biostatisticians, Statistical Programmers and Data Managers and pioneering automation frameworks that accelerate FDA and manuscript submissions.
Years of Leadership
Portfolio Strategy: Spearhead the statistical programming lifecycle for a high-priority portfolio of 15+ concurrent pediatric immunotherapy trials focused on CAR T-cell innovation.
Functional Leadership: Direct and mentor a cross-functional team of Statistical Programmers, Data Managers and Biostatisticians, fostering technical excellence and professional growth.
Operational Architecture: Pioneered an automation framework for TLF generation and validation, accelerating delivery for DSMB, IND, IB, and Pharmacovigilance reporting using CDISC-standard ADaM datasets.
Clinical Governance: Coordinate complex dose assignment and escalation rules for treatment regimens based on active study protocols.
Vendor & Stakeholder Management: Lead strategic data transfer processes, CRF builds and coordination with external collaborators and vendors to ensure data integrity and cost-effective delivery.
Process Engineering: Establish rigorous procedural controls and author comprehensive SOPs to ensure 100% audit readiness and standardized programming practices.
Regulatory Submissions: Acted as Lead Programmer for 12 clinical trials, delivering comprehensive TLF packages for Phase I/II DMC and IND regulatory reports.
Submission Excellence: Directly responsible for the accurate and timely delivery of FDA submission reports.
Data Standardization: Reviewed Case Report Forms (CRFs) to ensure end-to-end CDISC and ADaM compliance for all trial datasets.
Strategic Study Design: Served as the primary study biostatistician for the Kellogg Eye Center, providing executive-level expertise in study design, sample size calculations, and advanced statistical modeling for clinical manuscripts.
NLP & EHR Innovation: Leveraged Natural Language Processing (NLP) techniques on complex EPIC electronic health record (EHR) dataset extracts using SAS to drive clinical research insights.
Big Data Analytics: Directed the statistical evaluation of large-scale automated data collection systems for the Transportation Research Institute to assess the efficacy of seatbelt safety, child passenger protection, and helmet laws.
Public Safety Consulting: Acted as a lead Statistical Consultant for the Michigan State Police, translating high-volume crash data into strategic enforcement campaigns for distracted driving and youth safety.
Interdisciplinary Impact: Partnered with law enforcement and academic researchers to deliver data-driven presentations that influenced state-wide safety planning and injury reduction strategies.
Preclinical Statistical Oversight: Performed comprehensive statistical analysis for animal toxicology, cardiovascular, and fertility studies, ensuring data-driven insights for early-phase research.
Database Architecture: Spearheaded the creation and management of study databases to ensure robust data capture and structural integrity for preclinical protocols.
Technical Reporting: Served as the primary programmer responsible for the architecture and generation of Tables, Listings, and Figures (TLFs) in strict accordance with study protocols.
Quality Assurance & Validation: Executed rigorous independent validation of peer-programmed reports and datasets to maintain high-quality standards and regulatory readiness.
Executive Presentations: Synthesized complex statistical findings into actionable reports and presentations for senior leadership to support study decision-making.
Research Methodology & Design: Partnered with the Kirkhof College of Nursing and Grand Rapids Medical Education Partners to engineer survey instruments and study designs for healthcare and osteoporosis research.
Psychometric Analysis: Conducted rigorous statistical analysis to assess the reliability and validity of clinical survey data, ensuring high-quality psychometric properties for medical research initiatives.
Technical Mentorship: Provided expert-level SAS Programming instruction and tutoring for undergraduate courses, facilitating student mastery of complex statistical software.
Academic Operations: Collaborated with faculty on course architecture, curriculum planning, and the evaluation of advanced statistical assignments.
Clinical Trial Lifecycle Support: Partnered with diverse clients across the Oncology, Pharmaceutical, and Medical Device sectors to support the design and execution of Phase I/II clinical trials.
Protocol & CRF Development: Contributed to the development of clinical study protocols and conducted thorough Case Report Form (CRF) reviews to ensure data collection aligned with statistical analysis plans.
Production Programming: Developed and maintained SAS programs to generate Tables, Listings, and Figures (TLFs) for high-stakes regulatory submissions and clinical study reports (CSR).
Rigorous Validation: Executed independent double-programming and validation of primary datasets and outputs to ensure 100% accuracy and compliance with internal and regulatory standards.
Regulatory Momentum: Consistently achieved aggressive milestones for the timely delivery of regulatory data packages.
Stein JD, Rahman M, Andrews C, et al. Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data. JAMA Ophthalmol. Published online February 21, 2019137(5):491–497. doi:10.1001/jamaophthalmol.2018.7051
Sandra C. Ganesh, Kalpana Narendran, Jeyanthi Nirmal, Vijayakumar Valaguru, Sangeetha Shanmugam, Nish Patel, Prabha Narayanaswamy, David C. Musch & Joshua R. Ehrlich (2018) The key informant strategy to determine the prevalence and causes of functional low vision among children in South India, Ophthalmic Epidemiology, 25:5-6, 358-364, DOI: 10.1080/09286586.2018.1489969
Jermakian JS, Klinich KD, Orton NR, Flannagan CAC, Manary MA, Malik LM, Narayanaswamy P (2014) Factors affecting tether use and correct use in child restraint installations. Journal of Safety Research 51:99-108.
H. Xiong, P. Narayanaswamy, S. Shan, C. Flannagan, J. Sayer, How Do Drivers Behave during Indecision Zone Maneuvers, Accident Analysis and Prevention (2015), DOI: 10.1016/j.aap.2015.04.023
Flannagan, C., LeBlanc, D., Bogard, S., Nobukawa, K., Narayanaswamy, P., Leslie, A., Lobes, K. (2016, February). Large-scale field test of forward collision alert and lane departure warning systems (Report No. DOT HS 812 247). Washington, DC: National Highway Traffic Safety Administration.
Jingwen Hu, Kathleen D. Klinich, Miriam A. Manary, Carol A. C. Flannagan, Prabha Narayanaswamy, Matthew P. Reed, Margaret Andreen, Mark Neal & Chin-Hsu Lin (2017) Does unbelted safety requirement affect protection for belted occupants?, Traffic Injury Prevention, 18:sup1, S85-S95, DOI: 10.1080/15389588.2017.1298096
Hu, J., Klinich, K. D., Manary, M. A., Flannagan, C. A. C., Narayanaswamy, P., Reed, Lin, C-H. (2016, January). Evaluation of belted and unbelted safety requirements (Report No. DOT HS 812 232). Washington, DC: National Highway Traffic Safety Administration.
Acknowledgement - Klein, K.F., Hu, J., Reed, M.P. et al. Ann Biomed Eng (2015) Development and Validation of Statistical Models of Femur Geometry for Use with Parametric Finite Element Models. Springer Link, 43: 2503. https://doi.org/10.1007/s10439-015-1307-6