Research & Credentials

Aviation expertise backed by research, industry training, and execution.

Selected research, credentials, and aviation work behind DataFly Systems.

Publications & Research

From aviation AI to astrophysics.

Peer-reviewed and conference research spanning trustworthy AI, aviation safety, stellar populations, and computational astrophysics.

Aviation AI
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IEEE SoutheastCon 2026

Building Trust in the Skies

A Knowledge-Grounded LLM-Based Framework for Aviation Safety. Co-authored by Alisa Tiselska, this work explores how Large Language Models, Knowledge Graphs, and Retrieval-Augmented Generation can be combined to support more trustworthy, explainable, and verifiable aviation-safety analytics.

Astronomy & Astrophysics

White dwarfs, stellar populations & computational astronomy.

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Bulletin of the American Astronomical Society · AAS 243 · 2024

White Dwarf Stars: Ages of Distant Objects

Alisa Tiselska and Theodore von Hippel. Research using Gaia white-dwarf kinematics and BASE-9 statistical modeling to investigate the ages and formation history of Galactic stellar populations.

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Bulletin of the American Astronomical Society · AAS 244 · 2024

Using Stellar Kinematics of White Dwarfs to Obtain the Star Formation History of the Milky Way

Allyson Woodruff, Ted von Hippel, Alisa Tiselska, and Joseph Hammill. Research combining white-dwarf photometry, Gaia astrometry, stellar kinematics, and population probabilities to study the Milky Way’s thin and thick disks.

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Embry-Riddle Student Research Symposium · 2022–2023

White Dwarf Stars and the Age of the Milky Way

Research led and presented by Alisa Tiselska on using Gaia data, stellar kinematics, Python and statistical methods to investigate white-dwarf populations and the age structure of the Milky Way.

Education, Industry & Teaching

Technical depth backed by research and teaching experience.

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Master’s in Data Science

Embry-Riddle Aeronautical University — graduate study in data science with an aviation-focused business track, including machine learning, data visualization, analytics, and applied AI.

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B.S. Astronomy & Astrophysics

Embry-Riddle Aeronautical University — Bachelor of Science in Astronomy & Astrophysics, Cum Laude, with a minor in Applied Mathematics. The degree included computational research using Python, astronomical datasets, statistics, and mathematical modeling.

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3+ Years of University Teaching

Before developing DataFly’s professional seminars and private training, Alisa spent more than three years teaching and supporting university mathematics at Embry-Riddle, including Calculus instruction, supplemental instruction, grading, and mathematics tutoring. She received an Outstanding Graduate Math Teaching Assistant award for her work.

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ISTAT University Graduate — 2026

Completed the 2026 ISTAT University program, strengthening DataFly’s understanding of the commercial aviation ecosystem, aircraft finance, leasing, and the business context behind aviation technology.

Why DataFly teaches

Industry training built on real teaching experience.

DataFly’s seminars and private workshops combine aviation and AI expertise with more than three years of university-level teaching experience — translating technical concepts into practical, structured instruction for professionals.

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Research into practice

See DataFly’s aviation work.

Explore selected partnerships, AI strategy and training engagements, industry education, and product work including PilotDeck.

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Writing

Notes on data, AI, and business.

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Newsletter

Liters of Coffee & Data

Writing from Alisa Tiselska on data science, technology, analytics, business, and the practical use of emerging tools.

Read on Substack ↗

Looking for practical AI in aviation?

Explore DataFly’s AI Opportunity Audit, private team workshops and seminars, or custom AI and data solutions.

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