Joshua Lazaro Email and Phone Number

● Major Project: Drivers of Medicare Advantage Adoption: Modeling Market and BeneficiaryCharacteristics● Engaged in a high-profile project subject to a Non-Disclosure Agreement, focusing on themodeling of market and beneficiary characteristics to influence policy in the healthcare sector● Employed programming languages, such as SAS, python, and SQL to manipulate, analyze, andimplement Generalized Linear Models with notable predictive accuracy, further laying… Show more ● Major Project: Drivers of Medicare Advantage Adoption: Modeling Market and BeneficiaryCharacteristics● Engaged in a high-profile project subject to a Non-Disclosure Agreement, focusing on themodeling of market and beneficiary characteristics to influence policy in the healthcare sector● Employed programming languages, such as SAS, python, and SQL to manipulate, analyze, andimplement Generalized Linear Models with notable predictive accuracy, further laying thegroundwork for enhanced forecasting techniques in future initiatives Show less

● Plan educational programs to promote diversity and a community of success● Connect residents with resources on and off campus like the Career Center● Manage administrative duties at the front desk● Provide guidance and mentorship to my residents● Help to enforce University policies● Work 24 hour on-call shifts and compile incident reports● Coordinate with other UTSA entities such as the UTSA Police Department

Assist students and help faculty with administrative dutiesGuide and aid students through the enrollment of examsCreate and observed oral Spanish examsEntry level research with data collection for faculty

● Major Project: Linear models demonstrate reduction in expensive and difficult inpatient care forundocumented patients in New Haven● Analyzed and manipulated 3k patient observations from 4-5 years through SAS and Rprogramming to demonstrate the “value-added” by HAVEN Free Clinic to the Yale New HavenHospital● Developed linear and logistic regression analyses and medical reports for comparison of patientblood pressure throughout treatments and appointments

Laboratory of Jeffrey Townsend, Ph.D., mentored by Ph.D. candidate, Nick Fisk● Major Project: Quantifying the effect size of colorectal cancer gene mutations in 1015 patientexomes through cancereffectsizeR● Conducted computational and evolutionary techniques to quantify the statistical effect size of 46genes and their variants to discover their role in the progression of colorectal cancer● Calculated gene level mutation rates through likelihood estimates for the expected… Show more Laboratory of Jeffrey Townsend, Ph.D., mentored by Ph.D. candidate, Nick Fisk● Major Project: Quantifying the effect size of colorectal cancer gene mutations in 1015 patientexomes through cancereffectsizeR● Conducted computational and evolutionary techniques to quantify the statistical effect size of 46genes and their variants to discover their role in the progression of colorectal cancer● Calculated gene level mutation rates through likelihood estimates for the expected number ofmutations in a gene to attain the average selection advantage conferred upon mutations● Utilized lab-developed R package, cancereffectsizeR, to analyze high dimensional mutationannotation files and calculated Show less

● Empowered over 300 members (117 non-CS majors) in the field of Computer Science by conducting bi-weekly meetings with underrepresented speakers in various sectors of the field● Recruited sponsors such as MatrixAI, HEB and Paycom to sponsor events and workshops● Founded an introductory Python workshop for members with no experience in CS● Collaborated with organizations around UTSA to empower students outside of CS via workshops

Laboratory of Nima Aghaeepour, Ph.D., mentored by Ph.D. candidate, Camilo Espinosa● Major Project: Differential disease trajectories between children in low- and middle-incomecountries through multivariate machine learning models● Analyzed over 7k proteomic, metabolomic, and clinical features through R programming to studypatient outcomes between urban and rural children in low middle income countries.● Independently harmonized, integrated, and cleaned collinearities in… Show more Laboratory of Nima Aghaeepour, Ph.D., mentored by Ph.D. candidate, Camilo Espinosa● Major Project: Differential disease trajectories between children in low- and middle-incomecountries through multivariate machine learning models● Analyzed over 7k proteomic, metabolomic, and clinical features through R programming to studypatient outcomes between urban and rural children in low middle income countries.● Independently harmonized, integrated, and cleaned collinearities in heterogeneous data to adapt,gather, and examine, for machine learning algorithms● Constructed multivariate machine learning algorithms such as XGBoost to calculate probabilitiesof survival and found biological differences in urban and rural environments. Show less

● Founded a program that empowers first generation high school students through educational workshops to promote access to higher education● Connected UTSA students with high school students to receive college application guidance● Presented First Generation High School students to UTSA campus organizations to enhance their potential college experience along with degree decisions● Assisted the United Nations in completing sustainable goals “#1: No Poverty” and “#4: Quality education”

● Mentored both Non/Native Speaker students in Preparation for the AP Spanish Language and Culture exam, AP Spanish Literature exam, and IB Spanish Higher-Level exams● Guided students through 46 Spanish literature novels ranging from the Spanish Golden Age through theModernism and the generation of 98● Created weekly workshops on writing techniques, and provided feedback on preparatory essay examinations● Assisted students with acceptance of credit for 1XXX,2XXX, and 3XXX… Show more ● Mentored both Non/Native Speaker students in Preparation for the AP Spanish Language and Culture exam, AP Spanish Literature exam, and IB Spanish Higher-Level exams● Guided students through 46 Spanish literature novels ranging from the Spanish Golden Age through theModernism and the generation of 98● Created weekly workshops on writing techniques, and provided feedback on preparatory essay examinations● Assisted students with acceptance of credit for 1XXX,2XXX, and 3XXX Spanish credit courses at theiruniversities Show less

● Feature engineered, image pre-processed, and transferred learning to fine tune deep learningmethods such as CNN● Reduced noise in images by applying transformations and filters through scikit image library● Attained image processing for computer vision in Python certifications through DataCamp● Learned how to build machine learning models to classify binary dependent variables● Revised data sets that consisted of missing points and multicollinearity● Independently… Show more ● Feature engineered, image pre-processed, and transferred learning to fine tune deep learningmethods such as CNN● Reduced noise in images by applying transformations and filters through scikit image library● Attained image processing for computer vision in Python certifications through DataCamp● Learned how to build machine learning models to classify binary dependent variables● Revised data sets that consisted of missing points and multicollinearity● Independently studied machine learning algorithms to teach non-computational lab membersbeginners’ level computational concepts Show less

● Devoted 300+ hours of community service to AmeriCorps in Nederland Colorado in efforts to improve State and National Parks● Assisted the National Park Rangers, USDA Forest Service, and the Boulder Climbing Stewards crews byhelping to eliminate invasive plants and re-vegetation● Learned about the importance of analyzing big, longitudinal data studies in our fight to combat climate change