• Directed 10 research initiatives (4 independently, 6 collaboratively) resulting in 2 peer-reviewed publications with 2 under review and 6 in preparation
• Lead 5-member team in developing, scaling and evaluating computational and ML methods in biological data
• Trained genomic foundation models to evaluate their susceptibility to adversarial data poisoning attacks
• Spearheaded novel compression tool in C++ and Python achieving 10-20% reduced file sizes and 50-70% faster compression times
• Led benchmarking of generative genomic models against real genomes

• Engineered novel algorithms in Python and Bash for k-mer analysis; 12 peer-reviewed publications (7 as first/corresponding author)
• Developed kmerDB database consolidating DNA/protein sequences across Genbank and UniProt
• Published Zseeker, an open-source Python tool for Z-DNA detection in large genomic datasets
• Engineered ML pipelines for cancer detection from cfDNA and cfRNA based on liquid biopsies
• Supervised 8+ researchers and mentored 5 junior researchers to their first lead-author publications
• Organized workshop series around AI applications in biological research attended by 30+ participants

• Co-founded diagnostics startup translating patented nullomer research into clinical cancer detection platform
• Developed ML pipeline in Bash, Julia, Python, and Slurm achieving AUC ranging from 0.89 to 0.94 in lung and ovarian cancers
• Established regulatory roadmap for clinical validation and FDA approval
• Secured $850K in translational research funding

• Optimized cancer genomics ML pipeline using Julia, achieving 50-fold speed increase, saving >3 months of computational time and $50K+ in costs
• Created distributed computing pipelines for analysis of 100+TB of genomic data
• Deployed and managed genomic analysis pipeline to Google Cloud Platform
• Engineered compression procedure achieving 100-fold reduction, enabling development of kmerDB database

Doctoral thesis: Computational and Artificial Intelligence methods for large-scale omics data analysis

GPA: 4.0/4.0

Honours: Cum Laude

Master’s thesis: Frequentmers – a k-mer based approach for the detection of liver cirrhosis gut microbiome mNGS