Academic Background
M.S. in Biomedical Informatics and Data Science
Arizona State University · Tempe, AZ
B.S. in Biomedical Informatics
Arizona State University · Tempe, AZ
GPA: 3.59
Publications
Creating Healing-Centered Spaces for Intimate Partner Violence Survivors in the Postpartum Unit
Intimate partner violence (IPV) is a pervasive public health epidemic for pregnant and postpartum people. This study examines optimal methodologies for pediatric healthcare providers to offer education and resources on IPV to new mothers irrespective of disclosure, drawing on qualitative analysis of 150+ clinical interview transcripts to inform evidence-based healthcare intervention design.
Co-Investigator on a grant-funded study examining optimal approaches for pediatric healthcare providers to deliver IPV education and resources to new mothers, irrespective of whether the patient discloses abuse.
Systematic qualitative analysis across 150+ clinical interview transcripts. Behavioral theme extraction and coding using evidence-based frameworks to inform healthcare intervention design.
Research + Data Science
This research experience directly informs my technical work. Designing data collection instruments, coding qualitative data at scale, and translating findings into actionable clinical recommendations all map onto the same skills used in feature engineering, label design, and applied ML for health. My transition from clinical research to computational methods is intentional. I bring both rigor and domain context.
What I Work With
Where I've Worked
- Co-designed and implemented a Bayesian posterior engine deployed to production for 6-class behavioral phenotype classification, applying log-space likelihood multiplication to produce calibrated probabilistic confidence outputs aligned with Bayesian clinical phenotyping and longitudinal risk modeling frameworks
- Engineered a multi-variate behavioral risk scoring pipeline with four algorithmic functions (activation, engagement, retention risk, host potential) each returning 0–100 scores with source-attributed explanatory factors; implemented a 10-stage longitudinal engagement state classifier and 7 rule-based population segments
- Architected a production PostgreSQL schema across 56 migrations with Row-Level Security, GIN/JSONB indexes, database triggers, and advisory-locked stored procedures for race-condition-safe concurrent writes; deployed a full-stack behavioral data platform on Vercel (Next.js 16, TypeScript, Supabase) with four-tier access control
- Architected and initiated prototype development of an AI/ML behavioral intelligence platform covering pgvector embedding pipelines, LLM integration, recommendation engine architecture, and multi-layer behavioral memory system design; documented technical specifications aligned with HL7/FHIR and health informatics data governance principles
- Built the primary front-end in React 19 and Next.js App Router (TypeScript) with complete user lifecycle flows; integrated Stripe payments, HubSpot CRM with 15+ custom behavioral properties, Google Places API, and transactional email into a unified production architecture
- Designed data tracking systems in Google Sheets to manage content workflows across 4 organizations; built standardized information architecture across shared Google Drive environments with folder hierarchies, naming conventions, and access controls for a distributed 5-person team
- Directed operations across 4 organizations (Vital by KP, LPS Health, Etho, OPKX) managing 5 staff in content, social media, PR, and events; established SOP frameworks, weekly accountability reporting, and KPI dashboards while maintaining sole technical ownership of digital infrastructure
- Developed and deployed websites on WordPress and Hostinger with custom HTML, CSS, and JavaScript including scroll-triggered animations and interactive components; provided web infrastructure and digital operations consulting across the Vital by KP and OPKX client portfolio
- Built a comparative genomics pipeline to analyze horizontal gene transfer in phages, plasmids, and plasmid-phages from next-generation sequencing (NGS) data (RNA-seq, WGS/WES) using Python, Biopython, BLAST, BWA, Bowtie2, STAR, HISAT2, and Bash/Linux
- Applied variant calling and differential gene expression analysis across FASTQ, BAM/SAM, and VCF formats using GATK, Samtools, DESeq2, and edgeR
- Performed exploratory data analysis, data wrangling, and statistical analysis on genomic and phenotypic datasets using Pandas and NumPy; engineered features to prepare labeled inputs for classification model training
- Compared deep learning models (TensorFlow, PyTorch) and traditional ML approaches (Random Forest, XGBoost) to optimize genomic classification performance, tracking experiments with MLflow and Weights & Biases
- Built ETL pipelines to extract and integrate genomic reference data from NCBI, Ensembl, and GEO databases alongside SQL-based labeled datasets (>100,000 records) to construct training sets for ML model integration
- Created a classification model using Scikit-Learn, which led to a 14% accuracy improvement in the baseline
- Achieved 87% accuracy in model performance using cross-validation and accuracy, F1-score, and ROC-AUC metrics
- Built data visualization dashboards using Matplotlib and Plotly for collaborative real-time data sharing and reporting
- Presented findings in front of a panel of researchers, documented pipelines in Jupyter notebooks, and delivered all artifacts to source control
- Won a $10,000 research grant to examine optimal methodologies for pediatric providers to deliver IPV education and resources to new mothers irrespective of disclosure
- Applied systematic qualitative analysis across 150+ interview transcripts to extract and code behavioral themes, informing evidence-based healthcare intervention design
- Published research findings in the Journal of Women's Health
Activities & Volunteerism
GirlGov
Apr 2017 – Oct 2021Team Lead · Pittsburgh, PA
Developed website forms using WordPress and Google Analytics, increasing participant engagement by 20%. Implemented secure data storage for 100+ participant records.
Future of Latino Youth (FLY) Group
Jan 2019 – Mar 2021Co-Founder · Pittsburgh, PA
Co-founded a youth research collaborative of 20 members, utilizing survey tools and data visualization to analyze community needs.
Casa San Jose
Mar 2016 – Aug 2021Volunteer · Pittsburgh, PA
Reduced average wait times by 25% by optimizing vaccine clinic operations using digital check-in and queue management.
Computer Reach
Jun 2017 – Aug 2019Volunteer · Pittsburgh, PA
Installed macOS and Linux on 50+ computers and provided user training. Performed hardware diagnostics and repairs.