Wepa! Welcome to my Github Repo.

About Me

I was born and raised in Puerto Rico; and am a first-gen college student. Since a young age I became interested and passionate about mathematics, with this being my favorite subject. When the time came to decide what I wanted to do as a carreer going forward, I knew education was the way to give my life a deeper sense of purpose. The decision ultimately came to study Mathematics or Psychology as both topics were really appealing to me. Participating in the Saturday Research Academy at the Universidad Metropolitana in San Juan, P.R where I was able to do my first research in Biostatistics, was a pivotal moment in my life. As I learned that statistics applied to biology and medicine has an important and real life impact.

Therefore, I decided to pursue a bachelors degree in Applied Mathematics to Biology (as this was the closest curriculum to Statistics, avaliable in my university). On 2015, I graduated with a B.S having a first-author peer reviewed publication in Genetical Statistics, having also participated in 4 summer internships in various universities in the U.S and also being an experienced 2 year Mentor Teacher at the same Research Academy that granted me so much.

Today, I hold a M.S in Statistics with a Data Science Track from the University of California, Davis. I have co-authored 2 papers with the Department of Health from Oasaka, Japan and the FDA. In addition, possess 4 years working as a Data Scientist for one of the top Government Laboratories in the U.S and 4 more years of experience in product development in the biotech industry. My skills have allow me to excel in jobs related to Data Science, Genomics, Teaching, Software Development and Project Management.

My research interests are in: statistical genetics, bioinformatics, data mining and machine learning. Overall, no matter what the application is, I am just passionate about data analysis and the insight data can gives us to solve real problems. I am very passionate about my work, and like to bring a very positive attitute at work and to those that work around me.

CS Skills: Python, R, SQL, Bash, Perl. Used to program in C++ and MatLab but it has been a long while.

Published Papers:

• Lebrón-Aldea, D., Dhurandhar, E. J., Pérez-Rodríguez, P., Klimentidis, Y. C., Tiwari, H. K., & Vazquez, A. I. (2015). Integrated genomic and BMI analysis for type 2 diabetes risk assessment. Frontiers in Genetics, 6, 75. link_to_paper

• Thissen, JB …, Lebrón-Aldea, Dayanara, et.al (2018). A novel variant of torque virus 7 identified in patients with Kawasaki disease, Plos One 13(12): e0209683, doi: 10.1371/journal.pone.0209683 link_to_paper

• Sichtig, H., …, Lebrón-Aldea, Dayanara, et.al (2018). FDA-ARGOS: A Public Quality-Controlled Genome Database Resource for Infectious Disease Sequencing Diagnostics and Regulatory Science Research, Nature Communications. doi: 10.1101/482059 link_to_paper

Compiled Classes from Masters and Bachelors

• Classes in Stats: Analysis of Variance, Regression Analysis, Data Technologies and Web Applications, Statistical Data Science, Probablity Theory, Into to Mathematical Statistics, Mathematical Statistics, Big Data and High Performance Computing, Multivariate Data Analysis, Time Series Analysis, Categorical Data Analysis, Statistics Methods I, Statistics Methods II, Machine Learning, Computational Statistics (Stochastic Methods), Survival Analysis, Bioinformatics, Advanced Topics in Biostatistics.

• Classes in Science: General Biology I, General Biology II, General Chemistry I, General Chemistry II, Genetics, Ecology, Human Evolution, Human Biology I, Human Biology II, Psychology I, Psychology II, Introduction to Biostatistics, General Physics I, General Physics II, Introduction to Programming Structures in C++, Object Oriented Programming in C++.

• Classes in Mathematics: Precalculus I, PreCalculus II, Calculus I, Calculus II, Calculus III, Differential Equations, Advanced Applied Mathematics, Applied Mathematics for Phycisists, Mathematical Modelling, Probability and Statistics Numerical Analysis and Introduction to Statistics.

• 2016 Travel Fellowship for BPDM Workshops and KDD Conference (awarded to only 10% of applicants)
• 2016 -2017 GEM Fellowship - Full Fellow (LLNL-UCDAVIS)
• 2016-2017 NSF Research Training Group Grant
• Acceptance to University of California at Davis Statistics Graduate Program
• 2015 LLNL Poster Symposium - Most Outstanding Poster Presentation in Computation.
• 2013 UAB Research Expo (Third Place) Best Poster Presentation in Public Health
• 2013 MGE@MSA/WAESO Research Conference - Honorable Mention for Poster Presentation
• 2012 AGMUS Research Symposium Best Poster Presentation in Biostatistics
• 2012-2014 Mathematics Alliance Scholar
• 2011-2014 NSF Bio-Mathematics Scholarship
• Spring 2011: AGMUS Bio-Mathematics Excellence List
• 2011 SACNAS National Conference Best Poster Presentation in Applied Mathematics.
• 2011 Model Institute of Excellence (MIE) Award
• Travel Awards: SACNAS 2011 National Conference; BKX 69th Annual Conference; MGE@MSA/WAESO Conference; SACNAS 2012 National Conference; 2013 Richard Tapia Conference; 71th Joint Annual NIS and BKC Conference; Joint Mathematical Meeting 2015 and 2014 Field of Dreams.