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The Complexity Lab
@RIT

A research group at the Rochester Institute of Technology (RIT)
working on data-driven analysis and modeling of complex systems

   
Current Members

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Nishant Malik
Lab Leader

  • Assistant Professor, School of Mathematics and Statistics; Program Allied Faculty, Chester F. Carlson Center for Imaging Science; Program Faculty, Data Science MS program, Rochester Institute of Technology.
    Research interests include data-driven modeling and analysis of complex systems, network science, nonlinear dynamics, applied statistics, and stochastic processes.

Graduate Students

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Jenna McDanold
Graduate Student

  • PhD student in Mathematical Modeling program, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Jenna works on modeling forest fires at the Los Alamos National Lab.

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Adam Giammarese
Graduate Student

  • Ph.D. student in the Mathematical Modeling program, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Adam develops methods for data-driven modeling of complex systems.

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Jason LaRuez
Graduate Student

  • Ph.D. student in Mathematical Modeling program, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Jason applies topological data analysis to the study of networks.

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Trevor Lax
Graduate Student

  • PhD student in Mathematical Modeling program, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Trevor's interest is in equation-free modeling of complex systems.

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Cameron Bundy
Graduate Student

  • PhD student in Mathematical Modeling program, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Cameron studies evolutionary game theory and coevolving networks.

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Asher Christner
Graduate Student

  • Pursuing MS in Applied and Computational Mathematics, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Asher studies the geometric properties of landslides.

Undergraduate Students

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Nidhi Baindur
Undergraduate Student

  • Nidhi is pursuing a BS in Computational Mathematics at Rochester Institute of Technology.

    • Nidhi works on combining climate network analysis and machine learning.

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Daniel Oleynikov
Undergraduate Student

  • Pursuing BS in Applied and Computational Mathematics, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Daniel is developing complex networks-based methods for climate model validation.

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Celia Rickson
Undergraduate Student

  • Pursuing BS in Applied and Computational Mathematics, School of Mathematics and Statistics, Rochester Institute of Technology.

    • Celia is studying infrastructure networks and combined vulnerabilities in San Francisco.

Senior Researchers

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Hsuan-Wei "Wayne" Lee
Affiliated Researcher

  • Assistant Research Fellow at Institute of Sociology, Academia Sinica, Taiwan.

    • Wayne is interested in complex systems, computational sociology, game theory, and machine learning.

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Ugur Ozturk
Affiliated Researcher

  • Scientist at GFZ-Potsdam, Germany.

    • Ugur explores spatial landslide patterns through statistical learning models to better relate landslide incidents to their triggers, such as heavy rainfalls and earthquakes and studies urban landslides and their role in urban development.

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Andrés I. Ávila
Affiliated Researcher

  • Professor, Departament of Mathematical Engineering, Centro de Excelencia de Modelación y Computación Científica, Universidad de La Frontera, Chile. Visiting professor, University of Kassel, Germany. Program Faculty, Engineering Ph.D. program Director, Universidad de La Frontera, Chile.

    • Research interests include mathematical modeling, numerical methods, high-performance computing, network science.

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John McCluskey
Affiliated Faculty

  • Professor, Department of Criminal Justice, College of Liberal Arts, Rochester Institute of Technology.

    • His most recent research has included the study of body camera adoption in two divisions of LAPD with Justice and Security Strategies, a large scale longitudinal data collection effort to measure prevalence, causes, and consequences of teacher victimization in San Antonio, Texas with Dr. Byongook Moon, and a national study of the evidentiary value of body worn camera among prosecutors and defense attorneys.

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Darren Narayan
Affiliated Faculty

  • Professor, School of Mathematics and Statistics College of Science, Rochester Institute of Technology.

    • Research interests include graph theory and network science.

Recent Alumni
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Kamal Rana
Former Graduate Student

  • Awarded Ph.D. in 2023, Kamal was a PhD student in the Imaging Science program at Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology.

    • Now Senior Image Scientist at OmniVision Technologies in California.

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Nicholas John
Former Graduate Student

  • Awarded MS in Applied and Computational Mathematics in 2022 from School of Mathematics and Statistics, Rochester Institute of Technology.

    • Now works at Epic Systems in Wisconsin.

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Ivan Jacobs
Former Graduate Student

  • Completed Data Science Masters program at Rochester Institute of Technology in 2023.

    • Ivan is now Vice President, Head of Artificial Intelligence Capability Development – Cyber.

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Benjamin Grande
Former Graduate Student

  • Completed MS in Applied and Computational Mathematics in 2023 from School of Mathematics and Statistics, Rochester Institute of Technology.