Dr. Francis Motta


Assistant Professor
Department of Mathematical Sciences
Email: fmotta@fau.edu




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 every aspect of the expansion of the applicability of TDA to existing machine learning & statistical modeling approaches, especially those concerned with the analysis of data derived from spatiotemporal systems. I thrive on interdisciplinary collaboration & I am involved in both the design, implementation, & application of novel computational data analysis methods to solve problems from multiple scientific domains including synthetic and systems biology, condensed matter physics, and neuroscience. Currently my work involves 1) using topological methods together with machine learning tools to understand principles of protein stability, and 2) modelling the dynamics of host-parasite interactions of Plasmodium, to understand genetic regulatory networks in the causative agent of malaria. 


Recent Publications

  • An Intrinsic Oscillator Drives the Blood Stage Cycle of the Malaria Parasite, Plasmodium falciparum (under review)

  • Hyperparameter Optimization of Topological Features for Machine Learning Applications Sub. Sep. 2019, IEEE ICMLA 2019

  • Persistence Images: A Stable Vector Representation of Persistent Homology Feb 2017, JOURNAL OF MACHINE LEARNING RESEARCH  

  • Layers of regulation on cell-cycle gene expression in the budding yeast Saccharomyces cerevisiae Sep 2018, MOLECULAR BIOLOGY OF THE CELL  

  • Reconciling Conflicting Models for Global Control of Cell-Cycle Transcription Sep 2017, CELL CYCLE  

  • Conservation and Diversification of Circadian Rhythmicity Between a Model Crassulacean Acid Metabolism Plant Kalanchoë fedtschenkoi and a model 𝐶3 Photosynthesis Plant Arabidopsis thaliana Nov 2018, FRONTIERS IN PLANT SCIENCE

  • Informing the Structure of Complex Hadamard Matrix Spaces Using a Flow Dec 2018, DISCRETE & CONTINUOUS DYNAMICAL SYSTEMS – S