- Develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management.- Currently working on the prototyping of Generative AI (GenAI) applications using Retrieval-Augmented Generation (RAG) with Language Models in the public health domain. Focused on enhancing the Public Health Department's approach by leveraging RAG for efficient knowledge/document retrieval from various data sources.

Technical consultant for projects related to Bioinformatics, Genomics, and Machine Learning

- Developed a FastAPI app with rule-based and machine learning models to predict if a variant needed to be confirmed using orthogonal methods- Implemented MLOps pipelines using Weights & Biases to streamline the machine learning lifecycle management process.

- Extract, transform, and harmonize data from disparate data sources.- Develop and implement software solutions using machine learning, natural language processing (NLP), and language models for complex problems.- Build article and phenotype recommender systems in Python that recommend/highlight/discover new relationships between patients, genes, and diseases.- End-to-end Data science project life cycle from ETL, EDA, feature engineering, modeling, and evaluation/validation.- Create web apps to estimate genetic disease prevalence based on patient medical data.- Implement in-house machine learning life-cycle management by developing MLOps pipelines in Azure for streamlining ML operational and governance processes.- Collaborate on software development and/or statistical analysis for scientific research and quick prototyping for proof-of-concept solutions.

- The most important goal is to help our clients with the latest technology offered by our genomics services/products.- Provide cross-functional, strategic leadership for the operation of key business functions related to genomics services/products, including but not limited to Business development & Planning; Sales; Marketing; Manufacturing & Supply Chain; Quality & Regulatory Affairs; Customer Services; Process Improvement & Product innovations

- Successfully built, scaled, and grew a genomics startup as a technical cofounding team member, by solving genomic data problems to drive business/scientific decisions for pharmaceutical and academic clients using a wide array of analytic and quantitative techniques.Quick Biology, Inc. develops new technologies to allow scientists/physicians to obtain more results in less time. Our company's key service areas include: (1) BIG Data guided Quick Discovery, which provides advanced bioinformatics solutions towards helping customers quickly comprehend and discover new findings from large amount of next-generation sequencing (NGS) data, genomic data, microarray data and proteomics data in drug development and biomarker discovery. (2) Our novel and proprietary Quick Functional Validation reagent and arrays will enable researchers quickly validate results from various bioinformatics analysis. (3) Quick Diagnosis allows physicians to unleash the power of NGS in disease diagnosis.(4) Quick Guidance DNA tests help you design personalized health plan from fitness to nutrition.

- Research prospective accounts in targeted NGS markets, pursue leads and follow through to a successful agreement- Understand the NGS markets, including industry, company, project, company contacts and which market strategies can be used to attract potential clients- Maintain relationships with current clients and identify new prospects internationally- Possess a strong understanding of our NGS products, our competition in the industry and positioning- Follow the latest industry developments and stay up-to-date on competitors

Applying bioinformatics, molecular biology and large-scale data analysis to support various Next Generation Sequencing (NGS) research projects within the lab; biological data mining and propose testable hypothesis based on gene expression data to support research activities. The responsibilities include: • Perform statistical and bioinformatics analyses of large biological Next Generation Sequencing (NGS) data. • Process, quality-control and analyze NGS data for alignment, transcriptomic gene expression, canonical pathways using Python, Java and R, plus other publicly-available computational methodologies. • Manage and maintain sequencing data, records, reports, and files according to protocols and SOPs. • Prepare summaries, presentations, manuscript sections and figures for the visualization and publication of complex genomic, metabolomic and epigenomic data. • Participate and contribute in weekly group meetings on experimental design, activity planning, and troubleshooting.

- Work as a Research Scientist directly assisting principle investigator to design, plan and execute experiments that support various cancer research projects in the clinical lab. - Collect, generate and analyze data and communicate findings. Select and develop appropriate methods in performing experiments and reach project goals. - Write manuscripts for publication and assisting in the research grant funding application. - Designed, planned and executed data analysis for various cancer research projects: collect, generate, mining and analyze genomic data; visualized and published final research findings.