Experience

• Passed the Ph.D. candidacy exam in Aug 2025; passed the dissertation proposal defense in Jun 2026 — now all-but-dissertation (ABD), expected to graduate in June 2027.
• Research focus: multimodal clinical data (EHR, medical imaging, clinical notes, wearable data), large language models, and precision medicine.

2021–2022 scholarship recipient; advisor: Dr. Li Shen. Graduate researcher at Shen Lab, DBEI & PennAITech, Perelman School of Medicine.

• Led 5 interdisciplinary AI research projects on LLM fine-tuning, evaluation frameworks, and healthcare applications — spanning disease detection, trustworthy AI, and fairness-aware medical database analysis.
• Developed MentalGPT, a system of LLMs fine-tuned on MentalChat16K, outperforming base models and baselines on 7 mental-health metrics, evaluated by human experts and LLM judges.
• Published 6 first-author papers at top-tier conferences (KDD, AMIA, AAIC, IEEE BIBM) and in health-informatics journals, with collaborative work at NeurIPS.

• Engineered a robust ML pipeline on Google Cloud for multi-source Venezuelan political data (web-scraped articles, television broadcasts, audio), cutting data preparation from 4 weeks to 1.
• Fine-tuned OpenAI Whisper and GCP Speech-to-Text on Spanish political discourse, optimizing for domain terminology and varied broadcast audio quality.
• Applied transformer-based NLP to 100k+ Venezuelan news articles (2006–2009), quantifying political sentiment shifts across media sources during the Chávez era.

• Streamlined 4 Python data pipelines for audit analysis, cutting errors by 30% and saving 16 hours per week.
• Built automated dashboards (SQL Server, Python, Power BI) tracking 20+ KPIs with one-click updates and real-time visibility.