James Guo

Senior Bioinformatics AI/ML Engineer with 8+ years of experience building AI-enabled bioinformatics applications, clinical genomics workflows, NGS data pipelines, genomic data platforms, primer-design systems, in-silico PCR workflows, and scientific reporting tools. Strong background in Python, genomics software engineering, model evaluation, benchmark creation, data evaluation, citation-grounding analysis, hallucination-risk assessment, RAG applications, and reproducible scientific software development. Improved sequence-review efficiency by 40% through workflow automation, AI-assisted analysis, and scalable bioinformatics tooling.

Senior Bioinformatics AI/ML Engineer at Tempus AI (2023-09 – Present)

• Built AI-enabled bioinformatics applications for genomic data review, clinical/scientific interpretation support, automated report drafting, primer-design workflow support, and in-silico PCR analysis.
• Developed RAG workflows that grounded AI-generated responses in trusted primer-design rules, genomic references, analysis outputs, internal documentation, and report-generation logic.
• Established AI evaluation workflows and benchmark datasets to assess response quality, citation accuracy, hallucination risk, grounding quality, prompt behavior, and scientific consistency against expert-reviewed expectations.
• Created evaluation suites for genomic interpretation, primer-design review, scientific report drafting, and AI-assisted analysis workflows, enabling repeatable measurement of model quality, data quality, and scientific accuracy.
• Engineered Python-based bioinformatics services with FastAPI, Django, Biopython, and REST APIs for sequence parsing, primer validation, amplicon prediction, structured warning generation, and report-ready outputs, reducing repetitive sequence-review effort by 40%.
• Designed in-silico PCR workflows for primer binding, reverse-complement matching, GC content, melting temperature, amplicon boundaries, and biological warning conditions across thousands of primer-template checks.
• Delivered React and TypeScript applications for sequence submission, primer-pair result review, genomic result inspection, warning review, and scientific report-style summaries.
• Supported reproducible genomic review workflows across 10,000+ analysis records by managing QC summaries, FASTQ/BAM/VCF-derived outputs, metadata, file lineage, checksums, processing status, Docker images, reference genomes, tool versions, and report templates.

Senior Bioinformatics Engineer at Fulgent Genetics (2019-02 – 2023-09)

• Developed and maintained bioinformatics workflows for infectious disease genomics, PCR-based detection support, primer evaluation, NGS data review, and reproducible scientific reporting.
• Built Python and Bash automation for sequence parsing, primer checks, GC/Tm calculations, in-silico PCR support, QC review, and reproducible result formatting, reducing repetitive manual analysis work by 40%.
• Supported COVID-19-period primer design research using BLAST/Primer-BLAST concepts, FASTA analysis, sequence alignment, mismatch review, specificity assessment, and expected amplicon-size validation across hundreds of candidate primer checks.
• Supported FASTQ/BAM/VCF workflow review, read coverage analysis, QC checks, metadata tracking, variant interpretation support, and report-generation workflows.
• Contributed to secondary/tertiary analysis support by reviewing alignment outputs, variant result files, coverage signals, annotation-ready outputs, and reportable findings.
• Improved workflow reliability by documenting parameters, input files, tool versions, expected outputs, validation steps, and regression-test cases for reproducible analysis.

Bioinformatics Software Engineer at Thermo Fisher Scientific (2017-08 – 2019-02)

• Supported bioinformatics software development for sequence analysis, laboratory workflow automation, data validation, metadata tracking, and scientific reporting tools.
• Built Python scripts for FASTA/FASTQ parsing, primer sequence validation, GC% calculation, Tm estimation, and basic sequence-quality checks.
• Assisted with BLAST-style sequence searches, primer candidate review, sample metadata tracking, processing-status updates, and internal analysis documentation across 500+ sample and analysis records.
• Helped maintain backend services and database models for sample records, file metadata, analysis outputs, checksums, pipeline status, and report tracking.
• Collaborated with scientists and software engineers to convert biological requirements into repeatable computational workflows.

Master of Science in Bioinformatics – Boston University (2015 – 2017)

Bachelor of Science in Computer Science – Boston University (2011 – 2015)