Research group

Students & collaborators

Our projects span sea-level change, coastal adaptation, educational data analytics, computational literacy, and the occasional delightfully unexpected question.

Current group

People doing the work

Research is collaborative. These projects combine mathematical modeling, statistical inference, computation, and domain knowledge.

Carolina Estevez Loza

Ph.D. student researcher · Spring 2023–present

Coastal impacts, adaptation decision-making, costs, and damages under uncertain future sea levels.

Trevor Lax

Ph.D. student researcher · Spring 2024–present

Improved statistical calibration approaches for characterizing uncertainty in future sea-level change.

Mackenzie Gellerson

M.S. student researcher · Fall 2026–present

Duncan Miller

M.S. student researcher · Fall 2026–present

Selected publications

Student-authored work

A selection of peer-reviewed work led or co-authored by students and recent group members. Student and alumni authors are highlighted on the full publications page.

2026 · PLOS Climate
Managing Coastal Risks by Integrating Sea-Level Uncertainty and Robust Decision-Making into a Coastal Adaptation Model
Carolina Estevez Loza, Kelly Feke, V. Srikrishnan, and T.E. Wong · link

2025 · Mathematics in Medical and Life Sciences
Enhancing a university community COVID-19 model with Bayesian model-data fusion
Meghan Childs and T.E. Wong · link

2025 · npj Natural Hazards
Coastal Adaptation Costs at Different Global Warming Thresholds
T.E. Wong, Selorm Dake, Kelly Feke, C. Darnell, and V. Srikrishnan · link

2025 · Contemporary Mathematics and Science Education
Analyzing Learning Assistant Influence on STEM Student Success using Logistic and Hierarchical Regression
Cameron Bundy and T.E. Wong · link

2023 · PLOS ONE
Improving Models for Student Retention and Graduation using Markov Chains
Mason Tedeschi, Tiana Hose, E.K. Mehlman, S. Franklin, and T.E. Wong · link

See all publications

Research group alumni

Math, statistics & STEM education

  • Mike FosterComputational literacy in undergraduate STEM education and the 21st-century workforce · Postdoctoral scholar, 2023–2025
  • Cameron BundyEducational data analytics · Ph.D. student researcher, 2024–2025
  • Jen SundstromClass size and student grades · REU, Summer 2024
  • Alissa MitelmanStudent and faculty perceptions of computation in probability and statistics · REU, Summer 2024
  • Rachel SuchmanSocial and study networks, grades, and graduation rates · REU, Summer 2023
  • Andrea Camacho-Betancourt & Kimberley DorseyFaculty perspectives on computational literacy · REU, Summer 2023
  • Mikayla MacIntyre & Kayleigh PattersonFaculty experiences using computation in teaching and research · B.S. research, 2022
  • Allison DennisIn-group representation, persistence, and grades · REU, Summer 2022
  • Tiana HoseLearning Assistants, class size, retention, performance, and persistence · B.S. research, 2021–2022
  • Matthew DunhamComputational literacy in physics and mathematics · REU, Summer 2021
  • Mason TedeschiStochastic models of retention and persistence · REU, Summer 2021
  • Matthew PeeksClass size, student performance, and teaching evaluations · B.S. research, Spring 2021

Research group alumni

Climate science & applied modeling

  • Meghan ChildsData-informed stochastic modeling for the spread of COVID-19 · Ph.D. student researcher, 2021–2025
  • Dwight DinkinsMachine learning for model sensitivity · M.S. research, 2023–2024
  • Selorm DakeCommitted sea-level rise and mitigation risks · B.S. research, 2023–2024
  • Kelly FekeStructural uncertainty in coastal adaptation costs and damages · B.S. research, 2023–2024
  • Prasanna Ponfilio RodriguesRandom-forest classification of coastal damages and adaptation costs · M.S. research, 2023–2024
  • Jaser IniguezPaleoclimate models, proxy data, and Earth-system sensitivity · M.S. research, 2021–2022
  • Grayson OlinCorrelated data sources in sea-level projections · B.S./I.E. Research Fellowship, 2021
  • Alana HoughMachine learning and parametric uncertainty in sea-level hazards · M.S. research, 2020–2021
  • Ken ShultesStatistical calibration and Earth-system sensitivity · M.S. research, 2020–2021
  • Hannah SheetsDelayed coastal protection and expected damages · B.S./I.E. Research Fellowship, 2020–2021
  • Patrick RibasFood-waste digestion and greenhouse-gas emissions · Co-op, 2020
  • H. Nihar NandanUncertainty characterization in projections of temperature and sea levels · Senior thesis, 2018–2019
  • Travis TorlineNonstationary coastal storm-surge flood risk · Undergraduate research, 2019
  • Mingxuan ZhangBayesian calibration of storm-surge return levels · Independent study, 2018–2019
  • Kyle RosenbergA classifier for proposed Pokémon Go trades · Independent study, 2019
  • Jon OultonClustering and recommendations for rock-climbing routes · Independent study, 2019
  • John LeteyStatistical calibration and storm-surge return levels · Independent study, 2018
  • Alexandra KlufasData-record length and storm-surge parameter estimates · REU, 2017
  • Rob FullerExpert assessment and Antarctic ice-sheet projections · Master’s thesis, 2016–2017