Englander Institute members are committed to mentorship at all levels, through formal and informal programs– This attention is especially important in nurturing the next generation of leaders and allowing us to advance more efficiently across our mission.
The Weill Cornell Medical College Area of Concentration (AOC) program allows WCM medical students to dedicate a semester to scientific research in Precision Medicine and Computational Biology. As complementary topics, the Precision Medicine and Computational Biology AOC will increasingly shape the future of healthcare and help prepare WCM students to be future leaders in developing and deploying computational methods to achieve improved patient care.
Students can pursue projects centered on clinical trial matching, machine learning, genomic analysis, enhanced diagnostics, data visualization, and treatment optimization.
Students who choose the Precision Medicine and Computational Biology AOC may either be specifically interested in helping develop new Precision Medicine approaches, perhaps based on epigenomics, single-cell omics, or cell-free DNA; develop predictive models using machine learning and artificial intelligence; leverage data from sensors to predict and model health outcomes; develop applications and pipelines that will directly aid patient care or illuminate disease processes, or may have an area of investigation that falls into the AOC, or may specifically wish to work with a faculty member who is a member of this AOC faculty.
As Precision Medicine and Computational Biology are diverse in their manifestations, the program will offer students exposure to the breadth of insights generated by computational methods and develop expertise in a niche of their choosing. Students will engage in practical and academic exercises that will further refine an individual area of focus within the AOC, which will be expanded upon in a scholarly project under direct mentorship. Students will be encouraged to think broadly and from an interprofessional practice perspective. Goals and learning objectives include:
Students from WCM’s 7 multidisciplinary PhD programs, Tri-Institutional PhD and Accelerated PhD/MBA programs, and 6 MS programs are welcome to delve into the specific topics of research offered in various rotations.
Info about how we work with masters programs
The Englander Institute for Precision Medicine’s internship programs are intended for students in the medical, life science, computational and engineering fields with an interest in precision medicine. Since the Institute’s inception, we have mentored trainees ranging from high school, undergrad, and medical school, to rotating residents and fellows in various areas of the clinic, laboratory, and bioinformatics. We aim to introduce young scientists and engineers to the fast-paced advancements in precision medicine and foster the future of genomic medicine.
5-week program at the intersection of healthcare and voice artificial intelligence
The Bridge2AI-Voice Consortium and WCM’s Englander Institute for Precision Medicine are proud to announce the inaugural Voice AI Summer School. This innovative educational experience is a multi-site, interdisciplinary, collaborative program featuring innovative & hands-on learning experiences uniting students from health science & computer science backgrounds.
Participating sites include Weill Cornell, University of South Florida, Oregon Health & Science University, and Washington University St Louis, however students are welcome to apply from any institution. Voice biomarkers and Artificial Intelligence show potential for advancing healthcare by building predictive models to assist in screening, diagnosis, and treatment of a broad range of diseases, including several diseases with unmet clinical needs.
The Voice AI Summer School provides a unique and innovative hands-on opportunity for students in health, informatics, data, computer science and related fields to collaborate and learn about the creation of voice biomarkers using Artificial Intelligence. Curriculum will include processing voice audio, extracting and choosing acoustic and linguistic features, training and testing voice algorithms, as well as the social and ethical implications of working with voice data.
Applicants must be students, trainees, fellows, or residents who are registered in a university program at any level. No prerequisites are required, but applicants with training or experience in data science, computer science, or informatics are encouraged to apply.
While applicants can include fellows and residents, they must be able to commit to full-time 40 hours/week and in-person training for the entirety of the program.
U.S. citizenship or permanent residence is not required to apply to the program, but you must be physically located in the United States by the start of the program in Summer 2024. The program will not provide visa sponsorship.
Applicants Category 1: Biomedical informatics: Informatics, computer science, electrical engineering, public health, information systems, health technology
Applicants Category 2: Healthcare trainees: Nursing, pharmacy, medicine, genomics, speech pathology, health-related bioethics
The Voice AI Summer School is a multi-site program taking place across four institutions during the Summer of 2024. The following dates are specific to the WCM Site:
Over a 6-week period, a select group of students will partner with EIPM faculty mentors and will be paired with staff to help integrate them to the multidisciplinary team. In addition to individual and group projects, students are invited to attend regular EIPM events, including seminar series, working groups and journal clubs, weekly lectures at Weill Cornell Medicine. Weekly workshop will also focus on professional development. The program culminates with an interactive poster session to showcase projects to Weill Cornell Medicine.
Throughout their time at WCM students will:
Eligibility & Application considerations:
Key Dates:
A joint training program between City Tech and Weill Cornell Medicine (WCM) of Cornell University was recently awarded a $1.2 million, four-year National Institutes of Health (NIH) Big Data to Knowledge (BD2K) training grant to educate and train undergraduate students in biomedical big data sciences and informatics. The City Tech-WCM Big Data Training Program in Biomedical Informatics (BD2BMI) is led by Evgenia Giannopoulou, PhD, Assistant Professor of Biological Sciences, City Tech, and Jyotishman Pathak, PhD, Frances & John L. Loeb Professor of Medical Informatics, Weill Cornell Medicine.
Through semester-long internships, we also introduce several CUNY Macaulay Honors College New Media Lab Fellows to VR, AR, and MR applications.
