The Genetics and Data Science (GDS) multidisciplinary training area of the PhD program in Biomedical Sciences, in conjunction with the Department of Genetics and Genomic Sciences and the Icahn Institute for Data Science and Genomic Technology, offers students educational and research opportunities in genetics, genomics, and the closely related computational biology disciplines machine learning, network modeling, and big data analysis.
- Genetics and Data Science (GDS) is a training area of the PhD program in Biomedical Sciences at the Graduate School of Biomedical Sciences at Mount Sinai.
- GDS focuses on the genetics of human disease and the application of data science to address disease detection, prediction, and treatment.
- Students have a broad range of research opportunities through a diverse array of over 90 faculty, including the faculty of the Icahn Institute for Data Science and Genomic Technology who are world leaders in data science, technology innovation, and human disease and the faculty of the Department of Genetics and Genomic Sciences, the 4th-ranked department for genetics in the United States.
- Students have access to several state of the art core facilities, including the BioMe BioBank Program, the Genomics Core Facility, the High-Performance Computing Facility, and the Mount Sinai Data Warehouse.
- Students begin by taking graduate courses in genetics, genomics, genome analysis, and data science.
- In their first year, students do short rotation projects to explore their interests, develop additional skills, and explore potential thesis advisors.
- Students also participate in seminars and journal clubs through their graduate studies.
- Our supportive learning environment encourages team research.
- Our high faculty to student ratio affords students close mentorship from faculty.
- The average time for program completion is 4.8 years.
- Students receive a stipend, full tuition support, a comprehensive healthcare package, and guaranteed access to affordable housing for graduate students across the street from campus.
- We are located on Manhattan’s Upper East Side adjacent to Central Park.
Focus on Genetics and Genomics
As genetics and genomics permeate through a variety of scientific disciplines, we offer many unique opportunities to integrate basic, clinical and translational research across many disciplines. Our faculty are leaders in the fields of:
- Alzheimer’s Disease
- Cancer Genomics
- Cardiovascular Disease
- Clinical Genetics
- Developmental Biology
- Genetic Metabolic Diseases
- Infectious Disease
- Inflammatory Bowel Disease
- Population Genetics
- Psychiatric Genetics
Focus on Data Science
At a time when the explosive growth of biomedical data is presenting new opportunities, hopes—and challenges—for improving human health through precision treatments, the healthcare industry needs highly skilled biomedical data scientists to unlock the possibilities within this growing body of information.
The Icahn Institute for Data Science and Genomic Technology is leading the industry in innovative applications in biomedical data science, providing an intellectual home for collaborative data-driven research, and offering a unique opportunity for students with a strong quantitative background to hone the skills necessary to enrich—and ultimately to lead—the biomedical workforce of tomorrow. Our faculty includes numerous leading biomedical data scientists in the areas of:
- Biomedical Engineering
- Clinical Epidemiology
- Clinical Trials
- Computational Biophysics
- Computational Genomics
- Digital Health
- Dynamical modeling
- Environmental Medicine
- Health Systems Design and Information Technology
- Image Analysis
- Machine Learning
- Network Modeling
- Public Health
- Systems Biology
- Systems Pharmacology
- Image Analysis
Our curriculum provides students with comprehensive training in genetics, genomics, and computational biology. Our flexible curriculum gives students the opportunity to tailor their coursework to their scientific interests. This includes the opportunity to take advanced elective courses in numerous areas including Biomedical informatics, Biostatistics, Cancer Biology, Development, Immunology, Microbiology, Neuroscience, Pharmacology and Therapeutics Design, and Regeneration & Stem Cells.
We have a diverse body of students who focus on a wide range genetics, genomics, and computational biology research. Currently, we have 31 students.
Our Directors & Faculty
The GDS training area encompasses a diverse array of faculty with a wide range of research across genetics, genomics, and computational biology. The co-Directors help students find potential advisors that match their scientific interests.
Meet Our Faculty
Meet the accomplished faculty members of Genetics and Genomic Sciences.
Meet Our Co-Directors
Laura Huckins, PhD develops and applies complex statistical algorithms to probe the genetic, epigenetic, and higher-level multi-omic basis of understudied psychiatric disorders and trajectories.
Jonathan Karr, PhD develops comprehensive models of cells and the computational technology needed to enable these models.
Our Learning Environment
The Genetics and Data Science program draws from internationally recognized research that creates a multidisciplinary environment in disease-oriented and patient-focused research. As genetics and data science permeates through a variety of scientific disciplines, we offer many unique opportunities to integrate basic genomics research with advanced data analysis.
Our program provides a supportive learning environment with faculty from across various disciplines. We encourage team research and frequent communications among our students and faculty. Students meet with their advisory committee approximately once every six months for feedback and advice.
We are seeking candidates who have strong science background and significant research experience in the Life, Physical, and Engineering Sciences, including all branches of Biology, Chemistry, Mathematics, Physics, Bioengineering, and Computer Science. We take a holistic approach when considering PhD applicants.
Our application consists of a personal statement, a description of your research experience, your transcript, and three letters of recommendation.
Applications for admission in August 2021 are due on December 1, 2020. Typically, we conduct on campus interviews in January. Admissions decisions are announced in late January.
We encourage applications from qualified individuals, regardless of country of origin or where you received your academic and research training.
We encourage prospective students to attend our Fall webinars to learn more about the program and admissions process.