Raleigh-Durham-Chapel Hill Area
Technology Director with over 20 years of demonstrated achievements in leading cutting edge technology teams and analytical projects to release work products on time and to specification. Recruits, mentors, and grows professional talent. Recognized for bringing independent funding to her organization, building relationships for additional funding opportunities, outreach and engagement with colleagues and trainees to increase impact, presenting successful outcomes and accepting invited speaker positions to improve brand reach. Career Highlights: * Participated in successful multi-organization proposal teams in NIH-funded initiatives worth over $1B. * Independently won over $1.5M external funding for growing a new institutional initiative, Translational Science. * Led creation of over 100 software repositories, over 60 datasets, and over 1M lines of code and documentation. * Over a dozen publications with over 1,500 total citations. * Notable engagements: United Nations (delegate) Nairobi; ESACT (Keynote speaker), Copenhagen; Academy of Medical Sciences (invited speaker), London https://orcid.org/0000-0002-0090-8698
Building out digital biomanufacturing for world-class "Cell Engineering and Ligand Linguistics" CELL Labs in the Center of Molecular Medicine, led by GRA eminent scholar Dr. Nathan E. Lewis.
Cancer. Outcomes. Multiomics. 3d-exvivo modelling. I build the strategy, protocols, services, datasets, models to translate and scale Mayo-licensed technology, using cutting-edge AI tools.
Department of Genetics School of Information and Library Sciences Carolina Health Informatics Program
Highlights: · Infrastructure -- Established R&D infrastructure with generative AI-enabled code-reviews, integrated CI/CD, and processes for tracking backlog, activities, progress and timeline. · Engineering -- Built the machine-learning-ready data warehouse integrations, pipelines, and dashboards for exploring cross-functional data. · Data science -- Generated quantitative reports assessing the value and limitations of company data, uncovering and addressing QC issues. · Machine Learning/AI -- Designed the long-term ML/AI strategy and instituted the cross-functional “Machine Learning Working Group”; Used xAI and conformal inference to identify company-specific predictors of RNA-friendliness; used generative AI to parse potential targets out of 35 million PubMed abstracts; used unsupervised learning to identify chemotypes; Presented this and other work at multiple venues as invited speaker and panelist.