Nikolaus Schultz

Nikolaus Schultz is a Professor at the Graduate School of Medical Sciences, Memorial Sloan Kettering Cancer Center (MSK), with a primary affiliation in the Department of Computational Biology. His research integrates large-scale cancer genomics data with clinical outcomes to understand tumor progression and therapeutic response.

Dr. Schultz's research focuses on identifying genomic alterations underlying various cancers using computational methods. He develops and applies tools such as cBioPortal and OncoKB, enabling researchers and clinicians to interpret complex genomic data for precision oncology. His work spans cancer biology, computational biomedicine, and systems genomics, with an emphasis on translating genomic findings into clinical applications.

The recent publications highlight a strong trend in leveraging real-world clinical-genomic datasets for drug response prediction, metastatic pattern analysis, and knowledge base development. His research consistently emphasizes data accessibility, visualization, and integration across major consortia like TCGA and AACR Project GENIE.

• Memorial Hospital Award for Excellence in Mentoring (2022)
• AACR Team Science Award (2020)
• Geoffrey Beene Junior Faculty Chair (2019)
• Stupski Prize in Prostate Cancer Computational Oncology (2015)
• The Columbia Hospital Research Foundation Annual Award for Excellence in Obstetrical and Gynecologic Research (2014)
• Young Investigator Award, Prostate Cancer Foundation (2014)
• Josie Robertson Investigator Award, Robertson Foundation (2013)

Dr. Schultz has been actively involved in major collaborative grants and initiatives, including The Cancer Genome Atlas, AACR Project GENIE, and the Human Tumor Atlas Network. He leads the Cancer Data Science Initiative at MSK, which aims to enhance the usability of real-world patient data for research. He mentors students and researchers in computational oncology and contributes to national efforts in data-driven cancer research.

His lab develops critical software tools like cBioPortal and OncoKB, which serve as foundational resources for the global cancer research community. These platforms support data visualization, analysis, and clinical interpretation of genomic alterations, facilitating discovery and implementation of precision oncology strategies.