Our Team
Kanna Nandakumar, PhD
Founder
Dr. Nandakumar is a leading bioinformatics expert with over 14 years of experience driving innovation in genomics and personalized medicine. With a proven track record of developing and implementing CAP/CLIA compliant clinical bioinformatics pipelines, including NGS-based cancer panels and constitutional disorder panels, he empowers healthcare providers with actionable insights. His expertise spans the entire spectrum of genomic data analysis, from WGS and medical exome to targeted panels and RNA-seq. As the founder of zetobit, Dr. Nandakumar is dedicated to providing cutting-edge bioinformatics solutions tailored to meet the unique needs of each client.
Justin Duplantis, MBA
Business Development Manager
Justin is a results-driven Business Development Manager with a proven track record of driving exponential growth in the life sciences industry. Combining a strong scientific background (BS Chemistry, MBA Data Analytics) with over five years of industry experience and two decades of sales expertise, Justin excels at developing and executing successful sales and marketing strategies. His expertise includes building high-performing teams, cultivating strategic partnerships with key stakeholders (including industry leaders, academic institutions, and sequencing providers), and securing significant revenue growth. At zetobit, Justin is focused on connecting clients with our cutting-edge bioinformatics solutions to accelerate their research and achieve their goals.
Our bioinformatics team is a globally distributed group of highly skilled bioinformaticians passionate about accelerating scientific breakthroughs. We combine diverse expertise with a robust scientific partner ecosystem, including leading researchers, institutions, and technology providers, to deliver comprehensive and effective solutions. Driven by a shared commitment to empowering researchers, we work closely with clients, tailoring our services to meet their specific needs and ensuring research goals are achieved efficiently and effectively, from experimental design and data analysis to interpretation and visualization.