Dr. Francis Motta

Francis Motta, Ph.D

Assistant Professor

Charles E. Schmidt College of Science

Mathematics and Statistics

Boca Raton Campus

Education

Ph.D. in Mathematics, Colorado State University, 2014

Research Interests

Topological Data Analysis

Machine Learning and Artificial Intelligence

Dynamical Systems

Mathematical Biology

Research Description

I am a mathematician specializing in topological data analysis (TDA), dynamical systems, and mathematical biology. I am interested in everyÌýaspect of the expansion of the applicability of TDA to existing machine learning & statistical modeling approaches, especially those concernedÌýwith the analysis of data derived from spatiotemporal systems. I thrive on interdisciplinary collaboration & I am involved in both the design,Ìýimplementation, & application of novel computational data analysis methods to solve problems from multiple scientific domains includingÌýsynthetic and systems biology, condensed matter physics, and neuroscience. Currently my work involves 1) using topological methodsÌýtogether with machine learning tools to understand principles of protein stability, and 2) modelling the dynamics of host-parasite interactions of Plasmodium,Ìýto understand genetic regulatory networks in the causative agent of malaria.Ìý

Recent Publications

  • Quantitative Analysis of Attractors in Finite-Dimensional Approximations of State-Dependent Delay Differential Equations ()
  • Assessment of Simulated Surveillance Testing and Quarantine in a SARS-CoV-2 Vaccinated Population of Students on a University Campus - JAMA HEALTH FORUM - Oct. 2021Ìý Ìý
  • Improved Data Sets and Evaluation Methods for the Automatic Prediction of DNA-Binding Proteins - BIOINFORMATICS - Aug. 2021Ìý Ìý
  • Inference of Gene Regulatory Network Uncovers the Linkage Between Circadian Clock and Crassulacean Acid Metabolism in Kalanchoë fedtschenkoi - CELLS - Aug. 2021Ìý Ìý
  • Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network - FRONTIERS IN COMPUTATIONAL NEUROSCIENCE - Jan. 2021Ìý Ìý
  • An Intrinsic Oscillator Drives the Blood Stage Cycle of the Malaria Parasite, Plasmodium falciparum - SCIENCE - May, 2020Ìý Ìý
  • Hyperparameter Optimization of Topological Features for Machine Learning Applications - IEEE ICMLA - Feb. 2020Ìý Ìý
  • Persistence Images: A Stable Vector Representation of Persistent Homology - JOURNAL OF MACHINE LEARNING RESEARCH - Feb. 2017Ìý Ìý
  • Layers of regulation on cell-cycle gene expression in the budding yeast Saccharomyces cerevisiae - MOLECULAR BIOLOGY OF THE CELL - Sep. 2018Ìý Ìý
  • Reconciling Conflicting Models for Global Control of Cell-Cycle Transcription - CELL CYCLE - Sep. 2017Ìý Ìý
  • Conservation and Diversification of Circadian Rhythmicity Between a Model Crassulacean Acid Metabolism Plant Kalanchoë fedtschenkoi and a model ð��¶3 Photosynthesis Plant Arabidopsis thaliana - FRONTIERS IN PLANT SCIENCE - Nov. 2018Ìý Ìý
  • Informing the Structure of Complex Hadamard Matrix Spaces Using a Flow - DISCRETE & CONTINUOUS DYNAMICAL SYSTEMS – S - Dec. 2019Ìý Ìý

Charles E. Schmidt College of Science

The Charles E. Schmidt College of Science prepares students for careers in various fields, including biology, mathematics, physics and psychology.The Charles E. Schmidt College of Science offers unparalleled experiential learning opportunities to prepare the next generation of scientists and problem solvers.The College of Engineering and Computer Science offers majors in areas of national priority such as artificial intelligence, cybersecurity, transportation and supply chain management.

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