Bio

I love working at the intersection of biology and data science, I actively look for new strategies to handle multiomic data. My current interest are in analize transcriptomic and epigenomic data sequenced with cellranger-ARC sequencing, now I am working with human brain tissue, and other public datasets from human and mouse tissue. My implementations are standing in improve known pipelines based on R packages code, like Seurat and Signac, but eventually I will be testing multiomic software based on python.
I have previous experience working with bulk RNA-seq datasets from plants tissue, I have also some experience with unsupervised machine learning (ML) methods with keras & tensorflow for python in GoogleCollab.

I am aware of the prevailing need to convey the relevance and opportunity presented by emerging areas in data science and modern biology, so I am very excited to actively participate in the future of human health and food safety that the future holds for us.

Education

Centro de Investigación Científica de Yucatán | Yucatán, Mx.

Ph.D. Candidate in Biology Sciences | January 2019 - January 2023

Universidad Autónoma de Yucatán | Yucatán, Mx.

Master. in Computer Science | September 2013 - May 2016

Universidad Autónoma de Tamaulipas | Tamaulipas, Mx.

B.S. in Computer Science | January 1993 - January 1997

Experience

Healthy International Dept. in Tamaulipas | Administrative supervisor at Tampico-Madero-Altamira Harbor | Jan 2004 - Jan 2012

Freelance IT consultant | Software development | 2000 - 2010

Terminales Portátiles SA de CV | Software Engineer | 1998 - 2000

Teaching

CSHL, NY. | Teacher Assistant | Oct 2022

Latin American Technological University (UTEL) | Instructor | Aug 2016 - Aug 2018

Aliat Universities, Mx | Content specialist and instructional designer | Jan 2017 - Dec 2017

Latin University of Merida, Mx | Instructor | June 2016 - Aug 2018