CV

PhD (Physics), MA (Statistics)

• Unsupervised machine learning algorithms for galaxy clusters detection
• Astrostatistics and cosmology

DSc (Applied Math), MS (Physics), BS (Physics)

• Dynamical system and differential equations
• Black hole, non-topolotical solitons

Director, Assessment of Complex Skills Program

• Led the Assessment of Complex Skills program to develop data analytics and AI-based solutions for complex skills such as collaboration, communication, and social skills in classroom settings.
• Led a community effort to analyze and document how LLMs and generative AI transform assessment.
• Developed guidelines and researched new methods for responsible use of detectors of AI-generated texts.

Director, Psychometric and Data Science Modeling

• Led the Psychometric and Data Science Modeling group to innovate data science methods for extracting insights from complex digital learning and assessment data.
• Developed and implemented over seven data analytics and AI solutions to enhance test security, achieving over 60% detection of cheating incidents.
• Served on the corporate Test Security Leadership Team to guide strategy for test security in remote testing environments.
• Co-edited 'Computational Psychometrics' to integrate data science, machine learning, and NLP with measurement principles.

Managing Senior Research Scientist, Assessment Analytics and Data Science

• Led the Assessment Analytics and Data Science group to develop innovative analytics methods and operational support.
• Architected and led the development of the EPCAL Classroom version and cloud-based data analytics pipelines, supporting over five research projects.
• Served on the ETS AI Strategy Committee to contribute to corporate AI strategy development.

Senior Research Scientist, Psychometrics, Statistics, and Data Science

• Co-chaired the Research Advisory Council to lead the Measurement Frontier Research Initiative and developed innovative platforms and methods for assessment.
• Developed the ETS Platform for Collaborative Assessment and Learning (EPCAL), supporting over 13 research projects.
• Introduced the Evidence Trace File for virtual performance assessment and process data analysis.

Research Scientist, Center for Computational Psychometrics

• Innovated computational psychometric methods and data models for educational assessments.
• Led the ETS Collaborative Science project, creating assessment tools showcased at the White House by the NCES commissioner.
• Developed the ETS data model for virtual performance assessment to capture extensive process data.

Visiting Scientist, Department of Physics

• Developed image reduction pipelines and machine learning methods for the Dark Energy Survey.
• Created a machine learning method utilizing image-based shape measurement for real-time feedback on camera alignment.
• Enhanced image-based precision measurment for CCD testing in astronomical surveys.

Postdoc, Fermilab Center for Astroparticle Physics

• Developed methods for astronomical data analysis and galaxy clustering.
• Developed image-based methods to measure the flatness of the DECam focal plane.
• Created the largest catalog of clustered galaxies using the Gaussian Mixture BCG algorithm.

Research Assistant, Department of Physics

• Conducted research on galaxy clusters and astronomical data using machine learning.
• Developed the Gaussian Mixture algorithm to detect galaxy clusters from astronomical data.
• Created an error-corrected Gaussian Mixture Model algorithm for precise measurement of galaxy color distributions.

Graduate Student Instructor, Department of Physics

• Taught undergraduate physics lab on Electromagnetics
• Taught undergraduate physics lab on Mechanics

Annual Award for Exceptional Achievement in Educational Measurement

Presidential Award

SPOT Awards

Most Valued Reviewer, *Astroparticle Physics* (Elsevier)

Builder Award

GROCS Award

First Prize for the Advancement of Science and Technology