Latino Studies at New York University

Doctor of Philosophy Program in Computational Biology

COB PROGRAM FEATURES

  1. Interdisciplinary training through flexible and background-tailored tracks, interactive COB seminars, and ethics/research conduct courses.
  2. Learning environments and activities that promote interdisciplinary interactions and broader collaborations within and outside New York University, NYU School of Medicine–Sackler Institute, and Mount Sinai School of Medicine.
  3. Mentoring and career development activities, including partnerships with other programs.
  4. Summer internships in industry, academia, government, and international laboratories.
  5. Competitive stipend and benefits.

AREAS OF DISSERTATION RESEARCH

IGERT students are exposed to a wide variety of working scientists whose research spans the spectrum of cutting-edge problems at the intersection of biology and computational methods, including

  1. Macromolecular modeling: macromolecular algorithms and simulations; structure, dynamics, and function of biomolecules (interactions among

    biomolecules and with drugs and carcinogens).

  2. Computational genomics: structural and functional genomics, bioinformatics.

  3. Physiological modeling: signal transduction pathways, neuronal networks, cardiovascular systems, other organs.

PROGRAM REQUIREMENTS

  1. Eight core courses in molecular and cell biology, molecular modeling and dynamics, scientific computing, and computational biology.
  2. One research/ethical conduct course.
  3. One interdisciplinary computational biology student seminar course (G24.2300) each term during the first two years.
  4. Four elective courses in biology, chemistry, neural science, biomedicine, and mathematical/computational biology.
  5. Research credits and additional courses to complete 72 points of credit tailored to suit each student’s need.
  6. Lab rotations in the first year.
  7. Public seminar presentation in the second year.
  8. Ph.D. qualifying examination in the second year.
  9. Summer internship (typically in the third year).
  10. Defense of dissertation.

CORE COURSES

The following defines the eight required core courses.

  1. One of the following:

    G23.1001, Bio Core 1: Molecules and Cells
    G25.1881, Biochemistry I
    G16.2001, Foundations of Cell and Molecular Biology I or equivalent (e.g., Mount Sinai’s Core I: Biochemistry and Molecular Biology; see http://gsevals.mssm.edu/core1)

  2. One of the following:

    G23.1002, Bio Core 2: Genes, Systems, and Evolution
    G25.1882, Biochemistry II
    G16.2002, Foundations of Cell and Molecular Biology II or equivalent (e.g., Mount Sinai’s Core II: Cell Biology; see http://inka.mssm.edu/ courses/CORE_II)

  3. G24.2300, Computational Biology Student Seminar, taken each term during the first two years; and Computa-tional Research Seminar (course number to be determined), taken in the spring semester of the second year

  4. G25.2601, Biomolecular Modeling

  5. One of the following:

    G23.1127, Bioinformatics
    G23.1128, Genomics

  6. One of the following:

    G23.2030, Statistics in Biology
    G63.2010/G22.2420, Numerical Methods I

  7. One of the following:

    G22.1170, Fundamental Algorithms
    G22.3520, Honors Analysis of Algorithms

  8. One of the following:

    G22.2110, Programming Languages
    G22.3110, Honors Programming Languages
    G25.2600, Statistical Mechanics