Real-time data.
Real-time insight.

Lexical Intelligence provides software and services related to understanding and processing scientific information content to assist policy and decision makers.

Capabilities Statement

Meet our team

Kirk Baker

Kirk Baker


Kirk is the founder and president of Lexical Intelligence. Prior to Lexical, he was an integral member of two successful health science startups in Maryland. He joined the founding members of The Zerhouni Group as a computational linguist, designing a pharma-based search and visualization tool that formed the basis of that company's acquisition by i3 Analytics. As VP of Technical Development at i3 Analytics, he guided the development of the prototype into a full-fledged search and analytics platform used by many of the top organizations in the pharma industry.

Kirk received his Ph.D. from Ohio State, specializing in the application of statistical machine learning techniques to problems in natural language processing.

Paula Fearon

Paula Fearon

Vice President

Paula joined Lexical shortly after startup and heads our analytic services division, providing funding agencies and research administrators with the state-of-the-art tools and analyses needed to make informed, data-driven decisions. Paula served as Training Director in the Office of Portfolio Analysis at the National Institutes of Health (NIH), where she implemented and led an innovative training program that continues to assist the scientific community in carrying out effective analyses of the NIH research portfolio. With over a decade of analytical experience, Paula's expertise spans the fields of biomedical research, science policy, and portfolio analysis.

Paula earned her B.Sc. in Biochemistry from the University of Edinburgh, and her Ph.D. from Newcastle University with a concentration in molecular and cellular pharmacology.

Matt Perkins

Matt Perkins

Statistician, Analyst and Endurance Athlete

Matt joined Lexical in 2015, bringing with him 14 years of experience working as a professional statistician in the Government Statistical Service of the United Kingdom. Proficient with a wide range of statistical software, in particular the use of SAS, SPSS and R for analyzing large datasets, Matt provides our clients with analyses as well as statistical advice and training in cutting edge portfolio analysis techniques. Matt has worked in a number of UK Government Departments including HM Treasury, Education, Justice, Scottish Government and Transport Scotland. Matt was responsible for numerous UK Government Statistical publications, including Reported Road Casualties Scotland, Scottish Transport Statistics and the Scottish Index of Multiple Deprivation and is experienced at presenting analyses in all formats to stakeholders both within and outside of Government, including local government, Ministers and senior Government officials.

When not analyzing data, Matt spends his time undertaking athletic feats of endurance, regularly participating in triathlons, marathons and ultramarathons around the world.


Payam Meyer

Chief Software Engineer

Payam is Lexical's chief software engineer, responsible for all aspects of code design, implementation and project management, and displays remarkable deadline sensitivity for each. Payam's one-of-a-kind skillset covers the gamut from customer service, data analysis, DevOps and back-end data systems to machine learning, web applications and UI design. Payam has extensive experience designing and building data analytics and business intelligence platforms in the life science and pharma domains.

Payam received his BS in Information Systems from the University of Indianapolis and his MS in Computer Science from Johns Hopkins.

Matt Davis

Matt Davis

Chief Software Architect

Matt is Lexical's chief software architect with an extensive background in software engineering and specific expertise in natural language processing, information retrieval, and machine learning. Matt brings an unparalleled ability to visualize, articulate and design complex, scalable and robust software systems. A recognized expert in the Java programming language, Matt is also the primary architect of the open-source LuMongo real-time distributed search and storage system.

Matt received his BS in Computer Engineering from the University of Maryland Baltimore County and his MS in Computer Science from Johns Hopkins.


Travis Hoppe

Data Scientist

With a background in physics and mathematics, Travis brings substantial experience and expertise in scientific computing, programming, data analysis, algorithms, simulations, research and modeling to Lexical and our clients. Travis is an established scientist with publications across multiple disciplines in Nature, PLoS One, Physical Review and more, and served as the principal investigator managing small teams for highly technical tasks on several projects. Highly proficient in the full scientific Python/C++ stack, database backends, and data visualization, Travis is a programming polyglot and dedicated analyst, as well as a strong proponent for scientific standards and reproducibility. Travis is an active presenter and organizer in both the data community (Data Wranglers and Hack & Tell) and scientific enterprise (Biophysical Society, American Physical Society, and more) and is a firm believer in STEM outreach to public schools from professionals.

Travis received his Ph.D. in physics from Drexel University and a BS in both physics and mathematics from the University of Nevada-Reno.

Aviva Litozitz

Aviva Litovitz

Science Policy Analyst, Economist and Chemist

Aviva is Lexical's resident science policy analyst and economist, where she focuses on the development of novel techniques for estimating the costs associated with conducting research, linking costs with productivity, and conducting analyses to make research funding more cost effective. Before joining Lexical, Aviva worked as an Assistant Policy Analyst at RAND Corporation while completing her Ph.D. in Policy Analysis at the Pardee RAND Graduate School. Her dissertation used empirical economic methods to examine the relationship between federal research funding and academic productivity. As a RAND employee, she worked on projects that included an international comparison of R&D investments for carbon capture technology, estimating the societal costs associated with natural gas development from fracking, developing recommendations to build national science capacity in Japan and Qatar, and quantifying the economic impacts of the military in Hawaii.

Aviva earned a prior Ph.D. in Chemistry from Cornell University.


We are always looking for outstanding analysts and developers to join our team