As a data scientist-turned-product manager, I build AI-powered tools that help clinicians make better, faster decisions—freeing up their time to focus on what matters most: their patients. With over a decade of experience across public health, data science, and product development, I now lead a portfolio of digital health products at Mayo Clinic, focused on generative AI, predictive modeling, and operational analytics in Transplant. 🚀 Current Work • 📝 Generative AI Product 1 Enterprise-wide tool that uses LLMs to summarize unstructured data (clinical notes, emails) and power decision support across departments—supporting tasks like pre-op workflows, transplant committee decisions, and national registry reporting. → $2.2M pilot project → Filed 2 patents → Scaling across 3 sites and multiple specialties • 💊 Generative AI Product 2 Combines LLMs + predictive modeling to forecast post-transplant medication dosing. → Integrated with Epic → Undergoing SaMD regulatory process → $1.7M project, live across all sites • 📊 Transplant Analytics Dashboards I manage 4 live data tools used daily by transplant leaders to drive operational and clinical decisions—ranging from patient journey metrics to cost tracking and geospatial referral trends. 🛠️ What I Bring • Proven ability to lead cross-functional teams: engineers, UX, data scientists, QA, clinicians • Deep focus on turning unstructured data into clear, useful insights • Track record of building solutions that scale and serve real-world clinical needs • Early career foundation in epidemiology, global health, and health equity 💬 Let’s connect if you're looking for… • Product managers with AI/ML expertise in healthcare • Experience leading enterprise-grade pilots and navigating clinical/regulatory settings • Someone who can bridge the gap between clinicians, engineers, and data Mayo Clinic logo Mayo Clinic Full-time · 4 yrs Technical Product Manager – Transplant Center Aug 2024 - Present · 1 yr 9 mos Washington, District of Columbia, United States · Remote • Led development of generative AI technology, resulting in 2 patents and the deployment of 5 AI-powered services within clinical EHR systems. • Scaled AI-driven clinical solutions across three departments, integrating assistant-style automation to streamline workflows, enhance data accuracy, and reduce administrative overhead, resulting in higher patient and staff satisfaction. • Defined and executed AI-driven product vision, leading to a 50% decrease in clinical time spent in manual chart review, achieving 97% recall and precision accuracy. • Lead cross-functional teams to develop and launch AI-powered features, reducing clinical administrative workload by 80% for over 300+ healthcare providers. • Oversee go-to-market strategies for FDA-regulated and non-regulated AI clinical solutions, ensuring compliance and achieving 92% adoption rate within target markets. Data Product Manager Dec 2022 - Nov 2024 · 2 yrs Washington, District of Columbia, United States · Remote • Shipped five digital products across stakeholder groups, enhancing EHR interoperability, facilitating data governance and standardization, and enabling self-service analytics for end users to explore patient data based on customized business questions. • Spearheaded the planning, ideation, and development of a web-based clinical triage platform, improving patient assessment efficiency for Cardiovascular Surgery preparation. • Manage generative AI solutions utilizing LLMs to automate clinical administrative tasks, reducing manual workload by 30 minutes per task, and enhancing predictive recommendations for patient care. • Collaborate with clinical stakeholders to define priorities, gather requirements, and align feature development with real-world healthcare needs, increasing adoption by 50%. • Establish and track key performance indicators (KPIs) to measure product success and impact on patient outcomes, leading to improvement in clinical workflow efficiency and an increase in provider satisfaction. Skills: Leadership, Business Strategy, +14 skills Senior Technical Business Analyst May 2022 - Dec 2022 · 8 mos LinkedIn helped me get this job helped me get this job • Convert business pain points, goals, and user needs into actionable product requirements, driving the development of BI tools that improved data accessibility and decision-making for 30+ stakeholders. • Increased team efficiency by 30% by implementing SOPs, automation, and product templates, streamlining agile workflows and reducing manual effort in product development cycles. Skills: Business Strategy, Big Data, +6 skills The Rockefeller Foundation logo Data Scientist The Rockefeller Foundation · Full-time Oct 2021 - Jun 2022 · 9 mos Washington, District of Columbia, United States LinkedIn helped me get this job helped me get this job • Collaborated with WHO experts to identify key COVID-19 data needs, supporting pandemic response efforts that impacted 80+ countries. • Analyzed genomics datasets to assess COVID-19 risk levels, identifying high-risk nations and informing public health interventions. • Designed UX workflows and partnered with engineering teams to develop and launch a data-driven web application, improving accessibility to COVID-19 insights for 20+ global health professionals. Thumbnail for COVID-19 next generation sequencing global capacity mapping - FIND COVID-19 next generation sequencing global capacity mapping - FIND Mapping SARS-CoV-2 sequencing capacity globally Big Data, Business Analytics and +8 skills Senior Analyst Talus Analytics · Full-time Oct 2020 - Sep 2021 · 1 yr Washington, District of Columbia, United States LinkedIn helped me get this job helped me get this job • Contributed to the development of COVID AMP, a globally recognized COVID-19 database tracking 50,000+ policies, enabling policymakers and researchers to analyze pandemic responses across 50+ countries. • Led and executed an advanced data initiative under the CDC, assessing COVID-19's impact on health systems across local and state regions, informing public health strategies and policy decisions. Thumbnail for COVID AMP COVID AMP The COVID Analysis and Mapping of Policies (AMP) visualization tool is a comprehensive database of policies and plans to address the COVID-19 pandemic. Decision-makers can use COVID AMP’s user-friendly interface to easily identify effective policies and plans to reduce the impacts of the COVID-19 pandemic. Business Analytics, Data Science and +3 skills U.S. Department of Transportation logo Data Scientist U.S. Department of Transportation · Full-time Jun 2019 - Nov 2020 · 1 yr 6 mos Washington DC-Baltimore Area • Applied modeling and GIS techniques to analyze pedestrian and bicyclist safety, generating insights that informed traffic policy decisions and urban planning initiatives. • Developed and presented technical briefs, policy recommendations, and data-driven insights to 20+ leadership stakeholders, influencing transportation safety strategies. Thumbnail for Racial Disparities_NonMotorist_10.9.2020 cr.pptx Racial Disparities_NonMotorist_10.9.2020 cr.pptx Data Science, SAS (Programming Language) and +1 skill UC San Diego Health logo Graduate Research Assistant UC San Diego Health Jan 2018 - Oct 2019 · 1 yr 10 mos San Diego County, California, United States • Analyzed risks associated with intimate partner violence and HIV in the SASA! study, contributing to evidence-based interventions that impacted 600+ communities. • Applied qualitative research methods and multivariate regression analysis to uncover key risk factors, informing policy recommendations and public health strategies. • Authored and presented 5 abstracts, case studies, and manuscripts, disseminating research findings to 300+ stakeholders, including policymakers, researchers, and global health organizations. Thumbnail for The SASA! Approach The SASA! Approach Raising Voices first published the SASA! Activist Kit in 2008, providing a new tool in the nascent field of violence against women prevention that translated theory to practice by combining behavior change, communications and feminist theory into a methodology. Witnessing the challenges—and in some cases, backlash—in using “gender” and “rights” in programming, SASA! reframed violence prevention by using the language of power. Epidemiology, Research and +2 skills Makerere University logo Epidemiologist Makerere University · Full-time Feb 2018 - Aug 2019 · 1 yr 7 mos Mbale, District Health Office, Uganda • Served as Co-Investigator on a primary epidemiological study of HIV/TB co-infection in rural Uganda, contributing to research that impacted 6 communities. • Designed survey instruments, sampling frameworks, and data collection tools, enhancing study efficiency and establishing baseline accuracy measures. • Led cholera outbreak investigation, conducting 30+ case investigations and water quality testing, directly informing Ugandan local public health interventions and containment efforts. MPH Defense Presentation.pptx Examining Tuberculosis Loss to Follow up in Uganda Epidemiology, Data Collection and +1 skill University of California, San Diego - School of Medicine logo Research Analyst University of California, San Diego - School of Medicine Jul 2016 - Jun 2019 · 3 yrs San Diego County, California, United States • Investigated the relationship between stigma, social support, and HIV among women of color, contributing to research on health disparities and intervention strategies. • Conducted qualitative analysis, identifying key themes and insights, and presented findings at 10+ conferences, informing public health discussions. • Published a peer-reviewed scientific manuscript in AIDS and Behavior, expanding academic discourse on HIV-related social determinants. Thumbnail for Structural Barriers to Women’s Sustained Engagement in HIV Care in Southern California - AIDS and Behavior Structural Barriers to Women’s Sustained Engagement in HIV Care in Southern California - AIDS and Behavior The objective of this qualitative analysis is to identify how structural barriers negatively impact women’s sustained engagement in HIV care in Southern California. Epidemiology, Research and +2 skills Moores Cancer Center logo Undergraduate Research Assistant Moores Cancer Center Apr 2015 - Sep 2016 · 1 yr 6 mos UC San Diego Moores Cancer Center • Conducted research in a randomized controlled trial (RCT) examining the impact of an olestra-based diet on the elimination of toxic substances from the body, contributing to evidence-based dietary interventions. • Supported RCT operations by recruiting 45 participants, conducting qualitative interviews, and providing study retention counseling, improving participant adherence and data integrity. Thumbnail for ESPINA is a prospective cohort study of children ESPINA is a prospective cohort study of children This 14 year study is aimed at assessing the associations of exposures to pesticides with the development of children in agricultural settings (Ecuador). Epidemiology, Research and +1 skill