Alicia Frame
AI & Product Strategy @ Google
10.5
Years of Experience
Education
university of north carolina, william mary, hunter college high school
Companies
basecamp research, google, neo4j, neo4j, neo4j, neo4j, benevolentai, usda, independent it development consulting, us environmental protection agency epa, us environmental protection agency epa, dow agrosciences, us epa, us epa, university of north carolina at chapel hill, university of north carolina at chapel hill, university of north carolina at chapel hill, college of william and mary, childrens aid society
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Experience
2022 - Present
basecamp research
Scientific Advisor
2022 - Present
google
Senior Product Manager
• Responsible for Developer Assistance at Google, with a portfolio covering both traditional knowledge management assets (documentation, knowledge graph) and advanced machine learning (generative & predictive models) • Spearheaded AI transformation projects, including applying large language models to developer support, to provide significant efficiencies • Delivered 1M+ in cost savings by launching new models for internal search & prioritization • Managed cross functional team of engineers, designers, data scientists, and program managers
2022 - 2022
neo4j
Senior Director - Graph Data Science
• Built and launched Neo4j’s first data science software offerings, available as stand alone software and as a fully managed cloud offering. • Grew revenue from 0 to over $30M ARR in under 3 years and grew our open source data scientist community to 100k+ community members • Worked with early adopters and internal stakeholders to define use cases, messaging, value proposition, and go-to-market • Set technical and strategic roadmaps including: defining, scoping, prioritizing feature work, and overseeing ML engineering and field teams • Initiated partnerships with major data science vendors (Google’s VertexAI, Amazon SageMaker, Dataiku, Knime) and evaluated acquisition opportunities • Provided thought leadership in graph and biotech: authored 40+ articles, and appeared in interviews and invited presentations
2021 - 2022
neo4j
Director - Graph Data Science
2020 - 2021
neo4j
Lead Product Manager - Data Science
2019 - 2020
neo4j
Senior Data Scientist
2018 - 2019
benevolentai
Senior Data Scientist
• Experienced data scientist responsible for leading the technical direction of scientific projects, working with interdisciplinary teams of data scientists, AI scientists, software engineers, biologists, and chemists. • Implemented end to end prototype for technology supported mechanism driven drug discovery, including extracting data from unstructured data sources via NER, harmonizing structured data sources, merging data in a graph database, and training relational inference algorithms to make novel predictions for drug targets. • Developed platform, algorithms, and database to automate identification of appropriate tool compounds to test pharmaceutical hypotheses • Responsible for developing data mining algorithms and code in Python, building SQL and Neo4J databases, and providing expertise on bio- and cheminformatics.
2018 - 2018
usda
National Program Leader for Data Science
• Responsible for building an innovative extramural research program in data science and machine learning applications to support agricultural advancement. • Lead agency initiatives on agricultural data science, interagency initiative in cyber physical systems and other programs to advance the generation, collection, handling and utilization of data for food and agriculture. • Organized and coordinated groups of highly-technical experts for the purpose of formulating, directing, and coordinating national research, education, and extension programs. • Conceived, formulated, evaluated, and executed programs, policies, scientific standards and guidelines related to data science.
2016 - 2016
independent it development consulting
Independent Consultant
• Freelance IT consulting for the George Washington Cancer Institute • Developed patient tracking interface and interactive reporting tool in VBA for Excel & Microsoft Access
2016 - 2016
us environmental protection agency epa
Remedial Project Manager
• 6 month developmental detail to US EPA's Region 5, Superfund Division • Managed 4 environmental cleanup projects with total budget of over $9.8 million • Successfully managed teams of contractors and EPA employees to ensure project milestones were completed on time and on budget, meeting 100% of targets • Provided technical consultation and recommendations on statistics and risk assessment • Provided technical consulting on statistics, emerging contaminants, and remedial technologies
2014 - 2018
us environmental protection agency epa
Biologist / Data Scientist
• Statistical consulting for employees in headquarters and regional offices • Led efforts to implement interactive dashboards to facilitate and automate risk assessments • Developed software tools to integrate data sources and perform predictive analyses • Executed data mining projects to support data driven decision making and program evaluation • Created national policy for collecting, maintenance, and use of geospatial (GIS) data • Drafted and reviewed federal policy and guidance documents • Provided training at national meetings and workshops • PMF council member, planning training and events for new management fellows
2012 - 2014
dow agrosciences
Senior Analyst/Scientific Programmer
• Created web applications, workflows, and analysis tools to accelerate product discovery and reduce time to market • Served as an internal solutions consultant: identified customers, proposed and provided solutions to technical problems • Projects resulted in an estimated annual cost savings of over $500,000, and significant error rate reductions • Trained over 150 research scientists in use of informatics applications
2012 - 2012
us epa
Postdoctoral Research Associate, National Center for Computational Toxicology
• Implemented dashboards to automate analysis and visualization of toxicological data • Developed models to screen and identify reproductive toxicants • Built datamining algorithms to predict chemical exposure • Built a database of tissue, cell type, and pathway specific gene expression data
2011 - 2012
us epa
ACToR database bioinformatician, National Center for Computational Toxicology
• Built, updated and maintained EPA databases • Developed database to support and track sample processing, storage and analysis • Implemented pipeline software to parse, analyze and store data from HTS testing • Retrieved, parsed, and analyzed large data sets for model validation • Developed software and web applications to analyze and display toxicological data to public
2011 - 2011
university of north carolina at chapel hill
Graduate Research Consultant
• Advised undergraduate honors students conducting independent research in biology. • Assisted students in the development of mathematical and statistical models.
2007 - 2012
university of north carolina at chapel hill
Teaching Assistant
• Created and graded assignments, facilitated laboratory exercises, and taught basic statistics. • Designed a new lab to teach students about mathematical models in biology. • Supervised and trained laboratory interns and junior teaching assistants.
2007 - 2011
university of north carolina at chapel hill
Research Assistant
• Used computational and genetic models to understand variability in mate choice • Used open source NGS sequence analysis tools, techniques, and software libraries • Designed and executed independent scientific projects • Wrote programs in Java, Matlab, Mathematica, and R for mathematical and statistical modeling • Published 6 academic papers and presented my work at 4 national meetings.
2005 - 2007
college of william and mary
Research Assistant
• Followed standard microbiological methods for culturing opportunistic avian pathogens. • Performed assays to measure microbial protease production and efficacy. • Used aseptic/sterile technique and standard microbiological methods. • Conducted independent data analysis using excel and R
2005 - 2005
childrens aid society
Science Instructor
• Developed a student centered curriculum to provide hands on learning experiences in science • Taught underprivileged students ranging from in age from 4 to 16 for 8 weeks • Supervised and trained junior staff members • Coordinated lesson plans with other specialists
Experience
20 Skills
Artificial Intelligence (AI)
Data Science
Data Scientist
Design
language models
Large language models (LLM)
Leadership
Machine Learning (ML)
Neo4j
open source
Presentations
Prioritization
Product Management
product manager
Research
Research Scientist
Sagemaker
Search
strategy
User Acquisition
Education
2007 - 2012
university of north carolina
PhD
Biology, Computer Science
2003 - 2007
william mary
BS, Honors
Biology, Mathematics
1997 - 2003
hunter college high school
