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Systems, Computational, and Quantitative Biology Program

In this program, students will learn concepts and methods of systems and computational biology. Students will learn how to analyze gene-regulatory networks, spatial architecture of genomes, metabolic networks, and epigenomics. Students will also learn bioinformatic techniques, used for analyzing large-scale data such as RNA-Seq and Hi-C datasets, as well as statistical methods such as methods for dimensional reduction of complex data. Courses will emphasize both hands-on learning, such as in programming sessions, and active discussions. Students will learn skills that are useful for both basic and translational research.

REQUIREMENTS FOR SPECIALIZATION

All Basic Biomedical Science students must complete the core curriculum as well as electives required by their program. Students in the Systems, Computational, and Quantitative Biology Program must take 3 graded elective courses of 2-4 credits each, two of which must be in Bioinformatics. Students choose elective courses from among those offered by the program, or relevant courses offered by other Morningside Graduate School of Biomedical Sciences programs. The plan of coursework is designed to be flexible in order to accommodate each student’s needs and areas of interest.

View PhD Program Schedule  |  View Courses

OUR LEADERSHIP AND FACULTY

PROGRAM CO-DIRECTOR

Headshot of Dr. Manuel Garber
Manuel Garber
Professor
email Dr. Garber

PROGRAM CO-DIRECTOR

Dr. Hyun Youk Headshot
Hyun Youk, PhD
Professor
email Dr. Youk

FACULTY

 

View SCQB Faculty

OUR STUDENTS

STUDENT SPOTLIGHT

Gregory Andrews

Gregory Andrews studies transcription factor binding with his mentor, Zhiping Weng, PhD, Li Weibo Chair in Biomedical Research, professor of biochemistry & molecular biotechnology and director of the Program in Bioinformatics & Integrative Biology, using deep learning, a state-of-the-art machine learning technology.

Learn more about Gregory Andrews

Kaili Fan, MSc, PhD'23

Kaili Fan selected UMass Chan’s Program in Bioinformatics and Computational Biology specifically for the opportunity to be mentored by Zhiping Weng, PhD, Li Weibo Chair in Biomedical Research, professor of biochemistry & molecular biotechnology and director of the Program in Bioinformatics & Integrative Biology.

Learn more about Kaili Fan, MSc, PhD'23

Kathleen Morrill, PhD'23

Kathleen Morrill did her dissertation on the behavioral genomics of domestic dogs. Her mentor was Elinor Karlsson, PhD, associate professor of molecular medicine. Rotating through different labs in her first year at UMass Chan allowed Morrill to find a new enthusiasm for computational biology.

Learn more about Kathleen Morrill, PhD'23

POST-DEGREE CAREERS

The BCB program has prepared students for careers at leading companies and academic institutions in the field of Bioinformatics.

KAILI FAN

Weng Lab, October 2022

POSTDOCTORAL ASSOCIATE, JASON BUENROSTRO LAB
Harvard University, Boston, MA

KYLE GELLATLY

Garber Lab, November 2021

MACHINE LEARNING ENGINEER
FoxyAI, Huntington, NY

Dissertation: Network analysis of human vitiligo scRNA-seq data reveals complex mechanisms of immune activation

TYLER BORRMAN

Weng Lab, November 2020

SCIENTIST
PACT Pharma, San Francisco, CA

Dissertation: Measuring Stability of 3D Chromatin Conformations and Identifying Neuron Specific Chromatin Loops Associated with Schizophrenia Risk

YASIN KAYMAZ

Bailey Lab, July 2017

BIOINFORMATICS SCIENTIST
Harvard University, Cambridge, MA

Dissertation: Genomic and Transcriptomic Investigation of Endemic Burkitt Lymphoma and Epstein Barr Virus.

BRYAN LAJOIE

Dekker Lab, February 2016

INFORMATICS SOLUTION ARCHITECT
Illumina, San Diego, CA

Dissertation: Computational Approaches for the Analysis of Chromosome Conformation Capture Data and Their Application to Study Long-Range Gene Regulation.

JILL MOORE

Weng Lab, October 2017

ASSISTANT PROFESSOR
UMass Chan Medical School, Worcester, MA

Dissertation: Defining a Registry of Candidate Regulatory Elements to Interpret Disease-Associated Genetic Variation.

MERCEDEH JAVANBAKHT MOVASSAGH

Bailey Lab, April 2019

POSTDOCTORAL RESEARCH FELLOW
Harvard T.H. Chan School of Public Health in Biostatistics
Cambridge, MA

Dissertation: Comprehensive Computational Assessment And Evaluation of Epstein Barr virus (EBV) Variations, miRNAs, And EBERs in eBL, AML And Across Cancers.

WEI WANG

Weng Lab, October 2015

SENIOR BIOINFORMATICS SCIENTIST
Voyager Therapeutics, Cambridge, MA

Dissertation: Unveiling Molecular Mechanisms of piRNA Pathway from Small Signals in Big Data.

JIALI ZHUANG

Weng Lab, September 2015

BIOINFORMATICS SCIENTIST
Molecular Stethoscope, San Diego, CA

Dissertation: Structural Variation Discovery and Genotyping from Whole Genome Sequencing: Methodology and Applications.