Leonardo
Ledesma
Domínguez

I'm a

About

Tremendously dedicated and ambitious in the projects in which I participate, I always try to give my best in each task I perform.

Constant in always learning new things, such as learning languages and other skills typical of my professional career, far from seeing the obstacles, I see the most feasible, practical and useful solutions to a problem.

I am a lover of music and science, I think they are two different visions of understanding and enjoying life, in my spare time I read science fiction or fantasy books.

Facts

Purposeful Seek and propose solutions in a timely manner, seek constant improvement

Adaptability to changes Technology as well as life is in constant evolution, I adapt to changes when it is necessary to do so.

Methodological, but not square. Pragmatic, but measuring the scope There must always be a balance between theory and practice, both extremes are strangely consumable. They say that the simplest solution to a problem is the most efficient, I believe in that.

Analytical, thinker and self-organized The success of a project is the product of its planning, I consider that my strength is always to consider the steps to a solution and measure their impacts before anything else.

Skills

Communication skills 90%
Project manager 70%
Organizational skills 85%
Searching solutions 80%

Tech Skills

Programming 90%
Front-end developing 50%
Back-end developing 95%
Computer security and sysadmin 70%
Hardware developing 80%
DBA 95%
AI 80%

Languages

Spanish 100%
Native
Hebrew 80%
Test of האוניברסיטה העברית בירושלים
English 90%
C2 certification by TOEFL ITP 660 pts. (22/September/2023).
Russian 50%
Basic

Programming Languages

Python 95%
C# 70%
Matlab 100%
JSP 60%
AWK 70%
C 100%
Perl 100%
SQL 100%
R 50%
Bash 80%
C++ 70%
Java 95%
JavaScript 70%
Prolog 80%

Frameworks

PyTorch 85%
Tensorflow 85%
Keras 90%
OpenCV 90%
NodeJS 60%

Resume

Summary

Leonardo Ledesma Domínguez

As a scientist, my research focuses on bioinformatics and artificial intelligence, with a particular emphasis on designing deep learning algorithms for prediction, classification, and algorithm enhancement in the fields of genetics and omics.

As an engineer, for 9 years I have been involved in the management of systems covering various areas of computing, including database management and data engineering.

Forevermore, I love teaching and passing on my knowledge at the academy.

Education

Doctor of Science & Engineering - PhD

2020 - 2024

Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Thesis

Graduated with honors

Areas: Scientist computing in Bioinformatics & Artificial Intelligence

Master of Science - MS, Computer Science

2017 - 2019

Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Thesis

GPA 10.0/10.0
Graduated with honors

Areas: Deep Learning & Computer Vision

Bachelor of Engineering - BE, Computer Engineering specialized in biomedical engineering

2010 - 2015

Facultad de Ingeniería,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Thesis

GPA 9.72/10.0
Graduated with honors

B. A. theology

2010 - 2015

Centro Educativo Mundial
Mexico City, Mexico

Graduated with honors

Area: Apologetics

Research Experience

Research Collaborator

2020 - 2023

Centro de Geociencias,
Universidad Nacional Autónoma de México
Santiago de Querétaro, Querétaro Arteaga, México

Research Assistant

2018 - 2020

Facultad de Ingeniería,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Research Assistant

2014 - 2016

Instituto de Fisiología Celular,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Professional Experience

Project Management Coordinator

2024 - present

Coordinación de Planeación, Evaluación y Simplificación de la Gestión Institucional,
Universidad Nacional Autónoma de México
Mexico City, Mexico

  • Manage software development projects and full-stack and sysadmin interactions.

Data scientist & DBA leader

2021 - present

Coordinación de Planeación, Evaluación y Simplificación de la Gestión Institucional - Dirección General de Evaluación Institucional,
Universidad Nacional Autónoma de México
Mexico City, Mexico

  • Analysis, development and implementation of the National System of Higher Education established in the issuance of the General Law of Higher Education to guarantee education to the youth of Mexico. This system aims to evaluate, measure and generate social policies for the improvement of higher education institutions in Mexico and their responsibilities. In collaboration with the Secretaria de Educación Pública.

Head of computing area and databases

2017 - 2024

Dirección General de Evaluación Institucional,
Universidad Nacional Autónoma de México
Mexico City, Mexico

Academic Experience

Professor

2023 - present

Facultad de Ingeniería,
Universidad Nacional Autónoma de México
Mexico City, Mexico

  • Object-oriented programming.
  • Data structure and algorithms.
  • Formal languages ​​and automata.

Assistant professor

2020 - 2023

Facultad de Ciencias,
Universidad Nacional Autónoma de México
Mexico City, Mexico

  • Differential and Integral Calculus.
  • Vector Mechanics, Statistics.
  • Analytic Geometry.
  • Algebra.
  • Programming Languages.
  • Linux SO.

Volunteering & community support services

Bachelor trainer

2011 - 2015

Facultad de Ingeniería,
Universidad Nacional Autónoma de México
Mexico City, Mexico

  • Preparation Course for New Bachelor Applicants.

Portfolio

  • Software development
Sistema Integral de Información Académica
La UNAM y los Objetivos de Desarrollo Sostenible
Sistema Integrado de Información de la Educación Superior
Yeast Amino Acid Modifications
Sistema de detección y diagnóstico de COVID-19
  • Publications

# Document title Authors Year Journal Source WoS Citations Scopus Citations
1CDBProm: the Comprehensive Directory of Bacterial PromotersCoautor: Ledesma-Dominguez L., Martinez G.S., Perez-Rueda E., Dutt M., et al.2024Nar Genomics And BioinformaticsWoS-id: 001169137700001
Scopus-id: 2-s2.0-85185968074
22
2DeepReg: a deep learning hybrid model for predicting transcription factors in eukaryotic and prokaryotic genomesFirst autor: Ledesma-Dominguez L., Carbajal-Degante E., Moreno-Hagelsieb G., Perez-Rueda E.2024SCIENTIFIC REPORTSWoS-id: 001207003700015
Scopus-id: 2-s2.0-85190824879
23
3Prediction of DNA-Binding Transcription Factors in Bacteria and Archaea GenomesFirst autor: Ledesma L., Hernandez-Guerrero R., Perez-Rueda E.2022Methods in Molecular BiologyScopus-id: 2-s2.0-85135500848
02
4Active Contours for Multi-Region Segmentation with a Convolutional Neural Network InitializationCoautor: Ledesma L., Carbajal-Degante E., Avendaño S., Olveres J., et al.2021OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS VIIIWoS-id: 000671891800004
Scopus-id: 2-s2.0-85092726643
33
5A multiphase texture-based model of active contours assisted by a convolutional neural network for automatic CT and MRI heart ventricle segmentationCoautor: Ledesma, Leonardo, Carbajal-Degante, Erik, Avendano, Steve, OLVERES, JIMENA, et al.2021COMPUTER METHODS AND PROGRAMS IN BIOMEDICINEWoS-id: 000702665200008
Scopus-id: 2-s2.0-85115395830
44
6Hermite Convolutional NetworksFirst autor: Ledesma, Leonardo, Olveres, Jimena, Escalante-Ramirez, Boris2019Lecture Notes in Computer ScienceWoS-id: 000582428400036
Scopus-id: 2-s2.0-85075652260
23
7YAAM: Yeast Amino Acid Modifications DatabaseFirst autor: Ledesma, Leonardo, Sandoval, Eduardo, Cruz-Martinez, Uriel, Maria Escalante, Ana, et al.2018DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATIONWoS-id: 000427194400001
Scopus-id: 2-s2.0-85054772422
1114
  • Industrial and intellectual property rights
# Registred Name Authors Year Fields Owner
1 Sistema en línea de diagnóstico asistido por inteligencia artificial para COVID-19 mediante imágenes médicas 2023 Programas de computación Universidad Nacional Autónoma de México

Research stay

Research stay:

Wilfrid Laurier University.
PhD research stay.
Waterloo, Ontario, Canadá.
May 2022 - Aug 2022.

...

Congress

Summer School:

II Escola Latino-Americana de Bioinformática.
Laboratório Nacional de Computação Científica (LNCC), Petropolis, Rio de Janiero, Brazil. "DeepReg: a deep learning hybrid model for predicting transcription factors in eukaryotic and prokaryotic genomes".
September 16-27, 2024

Workshop:

2nd. Workshop in Advanced Bioinformatics.
Campus UNAM Juriquilla, Queretaro, México."Single-cell COVID-19 data visualization".
February 8-12, 2021

International Congress:

SPIE Photonics Europe Digital Forum 2020.
Strasburg, Francia. (Virtual).
April 6-10, 2020.

Summer School:

First Summer School in Deep Learning.
Instituto de Matemáticas, UNAM.
June 24-28, 2019.

International Congress:

24th Iberoamerican Congress on Pattern Recognition.
La Havana, Cuba.
October 28-31, 2019.

Winter School:

The 3rd Winter School in Computer Science and Engineering on Blockchains and Cryptocurrencies.
Jerusalem, Israel.
December 16-20, 2018.

Winter School:

Primer Escuela de Invierno 2018 IIMAS - Mérida.
Mérida, Yucatán, México.
January 15-19, 2018.

Scholarships & honors

Alfonso Caso Medal.

2024

Studies from Master of Science, generation 2019 PCIC.

Premio Nacional de Ciencias de Datos.

2021

First Place.

The 3rd Winter School in Computer Science and Engineering on Blockchains and Cryptocurrencies program.

2018

Scholarship.

Amigos de la Universidad Hebrea de Jerusalem y Brown University, USA, (Israel).

Wooden Bridges XIII.

2013

Predicting failure by calculating infinitesimal elements on the bridge.

Champion of National Competition.

Testimonials

https://www.misprofesores.com/profesores/Leonardo-Ledesma-Dominguez_168547

En los proyectos académicos institucionales en los que hemos coincidido ha mostrado importantes cualidades de liderazgo, honestidad y coordinación; confianza en sí mismo y un esfuerzo permanente por su superación académica y profesional.

Francisco Javier Lozano Espinosa

Subdirector de Seguimiento Institucional

Posee un excelente dominio de las relaciones interpersonales, además de caracterizarse por su proactividad y sobresalir por sus dotes de comunicación. Su perseverancia, constancia y paciencia son ya proverbiales en el medio académico que compartimos.

Rodrigo Alejandro Sánchez Morales

Jefe de área, análisis de bases de datos de sistemas universitarios

Sin duda, todas estas cualidades, invaluables para el desempeño de funciones que implican una alta responsabilidad en el campo de la educación, caracterizan tanto en un plano personal como profesional. Lo recomiendo totalmente, excelente persona.

Erik Yidell Carbajal Degante

Investigador tiempo completo