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Lladser, Manuel E. Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Lladser's is a probabilist and computational biologist. The overarching vision of his research and teaching is a synergism of mathematics and science. Currently, his research is mostly focussed in developing methods for dimensionality reduction of symbolic datasets, as well as assessing contamination in discrete datasets.

keywords

  • algorithmic probability, bioinformatics, computational biology, computational probability, discrete mathematics, discrete probability, mathematical biology

Publications

selected publications

Teaching

courses taught

  • APPM 3170 Discrete Applied Mathematics (Spring 2019)
  • APPM 4720 Open Topics in Applied Mathematics (Spring 2019)
  • APPM 5720 Open Topics in Applied Mathematics (Spring 2019)
  • APPM 6900 Independent Study (Spring 2019)
  • APPM 6950 Master's Thesis (Spring 2019)
  • APPM 7900 Independent Study (Spring 2019)
  • APPM 8990 Doctoral Dissertation (Spring 2019)
  • APPM 4560 Markov Processes, Queues, and Monte Carlo Simulations (Fall 2018)
  • APPM 5560 Markov Processes, Queues, and Monte Carlo Simulations (Fall 2018)
  • APPM 6900 Independent Study (Fall 2018)
  • APPM 6950 Master's Thesis (Fall 2018)
  • APPM 8990 Doctoral Dissertation (Fall 2018)
  • CSCI 4950 Senior Thesis (Fall 2018)
  • APPM 4720 Open Topics in Applied Mathematics (Spring 2018)
  • APPM 5720 Open Topics in Applied Mathematics (Spring 2018)
  • APPM 6900 Independent Study (Spring 2018)
  • APPM 6950 Master's Thesis (Spring 2018)
  • APPM 7900 Independent Study (Spring 2018)
  • APPM 8990 Doctoral Dissertation (Spring 2018)

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

Other Profiles