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Elena Eneva has 20+ years of experience in AI, ML, and data science across R&D, technical, and business groups. - Experienced in building and mentoring interdisciplinary R&D, product development, and consulting teams across academia and industry.- Proven track record in collaboration with government agencies and nonprofits.- Expert in leading, developing, and delivering complex analytics strategy and novel AI solutions for healthcare, Internet of Things (IoT), disaster response, and fraud detection. - Experience creating, organizing, and managing project-based interdisciplinary training programs at universities on AI for social impact. Elena is particularly passionate about solving challenging problems with a social impact, and is currently serving Research Director at Stanford’s RegLab. In the summer of 2013 Elena co-founded the Data Science for Social Good (DSSG) program at the University of Chicago, a project-based fellowship for aspiring data scientists from around the world to work on high-impact projects for nonprofits and government agencies globally. She later returned to lead the program and now serves on its board of directors. Additionally, Elena helped establish and directed the DataLab program, a similar DSSG-style fellowship for top U.S.-based undergraduates, held at Sewanee, the University of the South. A longtime Bay Area resident, Elena balances her love of “sciencing with data” with volunteering for local organizations, mentoring young people in tech, social dancing, and tending to her succulents.
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Research DirectorStanford ReglabCalifornia, United States
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Research DirectorStanford Reglab Oct 2024 - PresentStanford, California, UsWe pilot, build, and test solutions for compliance, mass adjudication, policy making, and government services -
Board Of DirectorsData Science For Social Good Foundation Aug 2023 - PresentChicago, Illinois, UsWe create and sustain communities, programs, and solutions that enhance the use of responsible data science and AI for equitable social good. -
DirectorSewanee Datalab May 2022 - Aug 2023DataLab is Sewanee's innovative data science for social good program. We train aspiring data scientists from diverse academic backgrounds to tackle problems that really matter. Students from universities across the US are hard at work using data science to explore and address pressing problems in public health, student wellbeing, equitable finance, environmental conservation, and more. -
Sr. Principal Research Scientist - Artificial IntelligenceAccenture Sep 2018 - May 2023Dublin 2, Ie -
Data Scientist - Senior ManagerAccenture Jul 2010 - Sep 2018Dublin 2, IeData Scientist and Senior Manager at Accenture Analytics.Head of Big Data Analytics Solutions for Accenture & Intel Joint Initiative on Internet of Things (IoT).Previously, Head of Machine Learning Solutions for Accenture Healthcare Claims Initiative.
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DirectorData Science For Social Good At University Of Chicago May 2018 - Aug 2018Chicago, Illinois, Us
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Data Science MentorData Science For Social Good, University Of Chicago Jun 2013 - Aug 2013DSSG is a summer fellowship program training future data scientists to work on the world’s most challenging social problems. Fellows work with the Obama campaign analytics team and other seasoned data scientists from academia and business on high-impact projects in education, healthcare, energy, transportation, and more. I lead two teams of fellows working on projects in healthcare and human rights. Read more about my fellows featured here: http://dssg.io/2013/07/15/ushahidi-machine-learning-for-human-rights.html (The fellowship is organized in partnership with the Computation Institute at the University of Chicago and Argonne National Labs, and is funded by Eric and Wendy Schmidt.)
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Adventure World Traveler And VolunteerElena Eneva &Co May 2008 - Jun 2010
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Fraud DetectionYahoo! Oct 2005 - Apr 2008Sunnyvale, Ca, UsEnhanced the business-critical Click Through Protection system (a hybrid between cascading business rules, statistical filters, and data mining algorithms) which ran on millions of clicks every day to detect invalid or fraudulent clicks on online paid search listings. Data Wizards group award. -
Analyst/Machine LearningYahoo! Jan 2003 - Oct 2005Sunnyvale, Ca, UsUsed data mining and machine learning methods to analyze massive amounts of internal data, find and model underlying patterns, and predict activities and events of interest, including attrition prediction, client future value prediction, partner traffic quality scoring, traffic spike detection, etc.
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Research And Teaching AssistantCarnegie Mellon University Aug 2000 - Sep 2002Pittsburgh, Pa, UsTeaching Assistant, Multimedia Databases and Data Mining.Research Assistant for machine learning and data mining projects, including:• Data Mining of Retail Consumer Data -- Created new algorithms for modeling preferences of consumers in supermarket chains. Developed a fusion of parametric and non-parametric methods to predict local and global price elasticities and profit optimization. Work with Rich Caruana (School of Computer Science) and Alan Montgomery (Business School).• Fractal Dimension and Dimensionality Reduction Techniques -- Investigated the relationship between the intrinsic dimensionality of data (estimated by the fractal dimension) in a reduced space, and several dimensionality reduction methods. This research makes several data mining algorithms scale to large data sets. Work with Christos Faloutsos.• New data mining tools for n-to-m relationship data -- Developed new tools for analyzing and generating n-to-m relationship data (customer data, web hits, disk-access patterns) based on statistical and information theoretic features. Work with Christos Faloutsos. -
InternAccenture Research Labs May 2001 - Aug 2001Developed a Machine Learning system for master data management which aids domain experts in managing taxonomies by learning relationships between two taxonomies, and automatically mapping data from one into the other.
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InternSaltare May 2000 - Jul 2000Developed a solution for integrating WebMethods services into Leap!, Saltare’s Java-based software. Leap! enhances production marketplaces by managing and intelligently responding to supply-chain events in real time..
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InternCarnegie Mellon University May 1999 - Jul 1999Pittsburgh, Pa, UsAutomatic Document Summarization -- developed algorithms for generating temporal summaries as a form of document summarization using natural language processing and machine learning techniques. The research was funded by the Jack L. Stephenson Grant, awarded annually to one student demonstrating dedication and research in a career field of choice. Work with John Lafferty.
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InternInternational Computer Science Institute May 1998 - Jul 1998Neural Theory of Languages Project -- worked with neural network models of action verbs in human languages as a part of the Neural Theory of Languages project.
Elena Eneva Skills
Elena Eneva Education Details
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Carnegie Mellon UniversityData Mining & Machine Learning -
The University Of The SouthComputer Science
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First English Language School
Frequently Asked Questions about Elena Eneva
What company does Elena Eneva work for?
Elena Eneva works for Stanford Reglab
What is Elena Eneva's role at the current company?
Elena Eneva's current role is Research Director.
What is Elena Eneva's email address?
Elena Eneva's email address is el****@****eva.com
What is Elena Eneva's direct phone number?
Elena Eneva's direct phone number is +162690*****
What schools did Elena Eneva attend?
Elena Eneva attended Carnegie Mellon University, The University Of The South, First English Language School.
What are some of Elena Eneva's interests?
Elena Eneva has interest in Civil Rights And Social Action, Environment, Science And Technology, Disaster And Humanitarian Relief, Health.
What skills is Elena Eneva known for?
Elena Eneva has skills like Data Mining, Machine Learning, Big Data, Analytics, Statistics, Computer Science, Data Analysis, Predictive Analytics, Databases, Text Mining, Natural Language Processing, Software Engineering.
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