ANDRE ZAPICO
email: ***********@*****.*** github: drezap
EDUCATION
Master in Engineering
Telecommunications Engineering Aug 19 - Dec 21
The University of Electronic Science and Technology of China; Chengdu, Sichuan, China Advisor: Cui Guolong
Thesis Topic: Radar Waveform Design via Artificial Neural Networks Bachelor of Science, Dual Major
Mathematical Sciences: Probabilistic Methods
Statistics Sep 14 - May 17
The University of Michigan; Ann Arbor, Michigan, USA EXPERIENCE
The SAS Institute, Remote September 22 - Present
Software Developer; Scientific Computing Engineering
develop and maintain high performance C and C++ code Likely LLC Oct 20 - Present
CEO
likelyllc.com, ***********@*****.***
The Tampa Bay Rays: Develop Bayesian models to forecast player performance
The University of Michigan Department of Cardiovascular Medicine - analysis of omics data
Multiple Clients - scientific literature review, advise doctoral students on statistical modeling The University of Michigan, Ann Arbor June 22 - October 22 Research Statistician; Department of Cardiovascular Medicine
methods for analysis of omics data, including dimension reduction, matrix factorization, regularized Bayesian regression and multilevel modeling
evaluate di erent multi design-matrix methods for validity The University of North Carolina, Chapel Hill May 19 - Sep 19 Research Assistant; Minimally Invasive Gynecelogic Surgery
fit hierarchical/multilevel models in brms (Stan) on uterine morcellation data for obese patients to determine association of electromechanic morcellator with blood loss
analysis of survey and data clinical trials data via Monte Carlo simulations, regression methods or hypothesis testing
Aalto University, Espoo Finland May 18 - Aug 18
Research Assistant; Aalto Science Institute, Compute Science Department
develop Gaussian process library in C++ for the Stan math library
implement regression, survival and time series models using Gaussian process techniques in Stan
The University of Michigan, Ann Arbor May 17 - Aug 17 Research Associate; Psychiatry Department
develop/translate a parameter-expanded two metropolis within Gibbs sampler that implements a Bayesian low-rank graph regression model for mapping human connectome data from MATLAB to C++ to increase execution speed
model combines principal component analysis, tensor decomposition and graph regression
github.com/drezap/blgrm_cpp
miRcore, Ann Arbor Sep 15 - May 17
Research Assistant
develop genomics pipeline data to obtain gene expression data from Illumina NexGen sequence data
validate experimental results with simulated alignment using bowtie2 AWARDS
China Scholarship Counsel Sep 19 - Jul 21
Chinese Government Scholarship, Sino-US Program
Aalto Science Institute May 18 - Aug 18
Research Intern, Computer Science
Big Data Summer Institute May 16 - Aug 16
Undergraduate Research Fellow
TEACHING
Quantitative Consultant Oct 20 - Present
Applied Bayesian Statistics in Stan for Marketing
miRcore/GIDAS Sep 15 - May 17
computational biology, introductory R and linux
AFFILIATIONS
Stan Development Team Jul 19, Currently Inactive
SOFTWARE
The SAS Institute Inc
stan: Gaussian process library
blgrm cpp: a bayesian low-rank graph regression model for human connectome data, github.com/drezap/blgrm_cpp
TECHNICAL SKILLS
programming: R, C++, Linux, python, C, LaTEX
modeling software: Stan, TensorFlow, SAS, SPSS
COURSES ATTENDED
Society of Nuclear Medicine and Molecular Imaging Oct 20 Quarterly SNMMI-TS Webinar Series: Cardiac Amyloidosis PUBLICATIONS
1.Golbus, JR., Zapico, A., Weinberg, R., Murthy, V. Konerman, M. 2019. Predictors of Change in PET Myocardial Flow Reserve Following Heart Transplantation Predictors of change in pet myocardial flow reserve following heart transplantation. Journal of the American College of Cardiology739S11654–1654.