Founder & Principal Scientist

SageIQ Bio is a specialized contract research firm founded by Dr. Zachary Wallen, a computational biologist with a passion for advancing life science and biomedical research through data-driven discovery. With almost a decade of experience spanning academic research, industry work, and large-scale consortia, Dr. Wallen brings a unique blend of scientific depth, technical expertise, and collaborative insight to every project.

Dr. Wallen earned his PhD in Genetics from the University of Alabama at Birmingham, where he trained in neurodegeneration and developed a strong foundation in statistical genetics, microbiome analysis, and bioinformatics. He then performed two years of postdoctoral work honing his skills in computational genomics and bioinformatics.

Throughout his career, Dr. Wallen has led and contributed to research at the intersection of genomics, metagenomics, and clinical data science. His work has been published in high-impact journals and presented at national and international conferences across disciplines including oncology, neurology, microbiology, genetics, and informatics. He has served as a bioinformatic and statistical subject matter expert for a variety of organizations and projects and has collaborated with leading scientists and clinicians to uncover novel insights into cancer genomics and biomarkers, Parkinson’s disease, and host-microbiome interactions.

At SageIQ Bio, Dr. Wallen offers consulting and research services in computational biology and analytics. He has particular expertise and experience in cancer genomics, statistical genetics, microbiome research, real-world data analysis, and computational infrastructure. His approach emphasizes scientific rigor, reproducibility, interpretability, and clear communication—helping research teams turn complex data into meaningful results.

Whether you're an academic investigator, government agency, or industry innovator, SageIQ Bio is here to support your mission with expert analysis, strategic guidance, and a deep understanding of the science behind the data.