CV
Education
- B.S. in Applied Mathematics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, 2012
- M.S. in Applied Mathematics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, 2014
- Ph.D in Statistics (with distinction), University of New Mexico, 2020
Recent experience
- Staff Scientist at Los Alamos National Laboratory (Aug 2023 - Present)
- Latent tree learning for pandemic-scale phylogenetics (LDRD, 2023 - Present).
- Generation of fracture networks with diffusion models for rare event detection (LDRD, 2024 - Present).
- Detecting undocumented orphaned wells using machine learning (DOE, 2022 - Present).
- Machine learning tools to detect early epigenetic biosignatures of infection (DTRA, 2022 - 2024).
- Postdoctoral Research Associate at Los Alamos National Laboratory (Nov 2020 - July 2023)
- Directed plant-microbiome evolution for food and biofuel security (LDRD, 2020-2022).
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- Directed plant-microbiome evolution for food and biofuel security (LDRD, 2020-2022).
- Research Assistant at the University of New Mexico (Jun 2017 - Dec 2019, funded by NIH ROI GM117590)
- Developed an algorithm to get a maximum likelihood estimate of an evolutionary tree from genetic data by searching a discrete parameter space.
- Developed PRANC software suite that provides tools to perform probabilities computations of gene trees given an evolutionary tree (C++).
- Proposed and implemented several methods for detecting anomaly zones.
- Statistical Consultant at the University of New Mexico (Aug 2016 - May 2017)
- Consulted over 60 graduate students from various departments on the statistical aspects of their research projects.
- Provided statistical service including statistical problem formulation, experimental design, and statistical model selection.
- Teaching Assistant at the University of New Mexico (Aug 2014 - Jul 2016, Jan 2020 - May 2020)
- Taught the Introduction to Statistics class of approximately 50 students three times a week for five semesters.
- Prepared lectures, handouts, graded assignments and exams, held office hours.
Publications
Talks
Calculating the probability of a ranked gene tree given a species tree under the multispecies coalescent model
Talk: Student Session at ASA New Mexico Chapter Annual Meeting, Santa Fe, New Mexico
Analysis of ranked gene tree probability distributions under the coalescent process for detecting anomaly zones
Poster Presentation at The Shared Knowledge Conference, Albuquerque, New Mexico
Heuristic approaches for ranked, unranked, and unrooted anomaly zones
Talk: Phylogenomics Session at Evolution 2019, Providence, Rhode Island
Using ranked gene tree distributions for detecting anomaly zone in a species tree and maximum likelihood inference
Poster Presentation: Section on Statistics in Genomics and Genetics at Joint Statistical Meetings 2019, Denver, Colorado
Maximum Likelihood Inference of Species Trees from Ranked Gene Trees Under the Coalescent Model
Talk: Section on Statistics in Genomics and Genetics at Joint Statistical Meetings 2020, Virtual
Topic modeling of soil microbiomes in droughted corn
Talk: Where AI meets Food Security: Intelligent Approaches for Climate-Aware Agriculture at AAAI Fall Symposium, Virtual
LDA topic modeling and Bayesian network analysis on plant-microbiome data
Talk: Biological Applied Mathematics track at Los Alamos - Arizona Days, Los Alamos, NM
Machine learning for identifying plant-microbiome interactions
Talk: LANL annual event at Science in 3, Los Alamos, NM
A bird’s eye view of relationships between epigenetic modifiers across immune cells
Poster: Regulatory & Systems Genomics session at ISMB, 2024, Montreal, Canada
Are fast-limited-data phylogenetic reconstruction algorithms useful for biological applications?
Poster: Evolution & Comparative Genomics at ISMB, 2024, Montreal, Canada
Conditional mutual information for effective machine unlearning
Talk: LANL Computer, Computational and Statistical sciences division at CCS pitch day, 2025, Los Alamos, NM
Teaching
Travel awards
- Women in Statistics and Data Science Conference Travel Award for Women in Statistics and Data Science, October 2019, Seattle, Washington.
- UNM GPSA Travel Award for Women in Statistics and Data Science, October 2019, Seattle, Washington.
- UNM Doctoral Conference Presentation Award for Evolution meetings, June 2019, Providence, Rhode Island and JSM, July 2019, Denver, Colorado.
- BGSMath Travel Award for Algebraic and Combinatorial Phylogenetics workshop/conference, July 2017, Barcelona, Spain.
Professional and Department Service
- Reviewer for the Journal of Mathematical Biology, Briefings in Bioinformatics, PLOS Computational Biology, Frontiers and Molecular Biology and Evolution journals.
- Rapid response reviewer for the LANL Center for Space and Earth Science, 2024.
- Author of a guidance document outlining strategies for integrating virtual environments (i.e., digital twins) into biomanufacturing efforts for LANL leadership, 2024.
- Organizer of the inaugural LANL AI for Biology workshop at CNLS, 2024 link.
- Judge in the math section at the LANL Student Symposium, 2021.
- Commencement speaker at the UNM Math\&Stats department graduation ceremony, 2020.
- Judge in the UNM Advanced Data Analysis poster session, 2019.
- Grader for the New Mexico state wide math contest exam, 2016.
Languages
- English
- Russian
- Ukrainian