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The goal of PIBBS is to recruit top caliber Ph.D. students in the biomedical and biological sciences to USC and to guide them in the identification of a mentor, lab, and research project that will provide rigorous scientific training, an outstanding Ph.D. thesis, and a strong foundation for a variety of science-related careers. The following interdisciplinary Ph.D. programs are part of PIBBS.
Cancer Biology & Genomics (CBG)
CBG capitalizes on our Norris Comprehensive Cancer Center , one of the oldest National Cancer Institute-designated Comprehensive Cancer Centers in the United States. A Comprehensive Cancer Center designation requires that clinical treatment of patients and scientific research are carried out side by side. The Norris has strength in all areas of cancer research, including clinical and basic research and epidemiology.
Development, Stem Cells, & Regenerative Medicine (DSR)
DSR benefits from our wonderful Center for Regenerative Medicine and our strength in stem cell research, tissue engineering and regeneration.
Infectious Diseases, Immunology & Pathogenesis (IDIP)
IDIP is a program focused on translating bench research to the bedside by investigating human organ systems in health and disease. It takes advantage of our outstanding clinical and basic scientists and the exciting interdisciplinary and collaborative atmosphere at USC.
Medical Biophysics (MBPH)
MBPH is a program seeks to answer important biomedical questions using all aspects of biophysics, with an emphasis on structural biology and biophysical methods and theories. Some faculty members of this program are located on the University Park (undergraduate) USC campus.
Molecular Medicine (MMED)
The Molecular Medicine PhD Program offers comprehensive research training at the intersection of medicine and molecular biology, equipping students with practical skills and a collaborative environment to make significant contributions to medical advancements.
Neuromedicine (NEUM)
The NEUM PhD program at Keck School of Medicine trains researchers to address neurological and neurodegenerative diseases through interdisciplinary approaches, equipping them with knowledge in disease biology, pathophysiology, model systems and data science, and the skills to conduct rigorous basic and translational research and develop cutting-edge technologies.
Posted on October 3, 2022 by kuhnadmin
Molecular & Computational Biology phd program
Join USC and earn your PhD in Molecular & Computational Biology !
Applications due December 15, 2022.
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QUANTITATIVE AND
COMPUTATIONAL BIOLOGY
PHD STUDENTS
PhD Student
HANDAN CETIN
DALLACE FRANCIS
Chaisson Lab
JIAWEI HUANG
1st Year Student
YIBEI JIANG
ASHLEY KASEM
2nd Year Student
Katritch Lab
FANGYUN LIU
OBADIAH MULDER
JUNJIAN (JANIS) LIU
YINGTONG LIU
MacLean Lab
SEUNG JAE LEE
WANGFEI (WALFRED) MA
MEILU MCDERMOTT
RAKTIM MITRA
ANNA NADTOCHIY
SHIRIN NATANELI
FERIEL OUERGHI
DANDAN PENG
PAULINA SMARUJ
Fudenberg Lab
ISHAAN THOTA
VARDGES TSERUNYAN
KATALIN VOSS
Pennell Lab
GEORGE WANG
YINGFEI WANG
JESSE WELLER
403K [email protected]
QIFAN (ALICE) YANG
Thompson Lab
QUENTIN YANG
QINGYANG YIN
WENXUAN ZUO
Publications
Join the lab
Welcome! We are the Edge lab, a group of researchers studying evolutionary genetics at the University of Southern California (USC). We use math, statistics, and computation to study the sources and consequences of genetic variation. We are part of USC’s Department of Quantitative and Computational Biology (QCB), which administers the Computational Biology and Bioinformatics (CBB) graduate program.
We are located on the 4th floor of Ray R. Irani Hall (RRI) at the University of Southern California, in the University Park neighborhood of Los Angeles.
Josh Schraiber's paper examining the notion of between-group heritability and related ideas is now published in PNAS. Congratulations, Josh!
Vivian Link's paper proposing a tree-based method for identifying quantitative-trait loci is now published in the American Journal of Human Genetics. Congratulations, Vivian!
Vivian Link's paper on trait-associated genetic variants in the neighborhood of forensic-genetic loci is now published in iScience. Congratulations, Vivian!
Tina Lasisi and Sanjana Paye have left Los Angeles for the University of Michigan, where Tina will be an assistant professor of anthropology and Sanjana will be an MD/PhD student. Congratulations, and we will miss you both!
Feriel Ouerghi has joined the lab as a PhD student. Welcome, Feriel!
... see all News
© 2020 Edge Lab. Site made with Jekyll ;   Lab logo designed by Ro Mottsmith ;   more info
We are part of the Department of Quantitative and Computational Biology at the University of Southern California
The Department of Biological Sciences offers a Master of Science in Quantitative and Computational Biology (MQCB), which integrates quantitative graduate courses from the Biological Sciences, Biomedical Engineering, Chemistry, Computer Science, Mathematics, and Physics and Astronomy departments. Students will gain additional skills across these disciplines that prepare them well for advanced graduate-level work, MD/PhD programs at top universities and/or jobs in industries at the intersection of biotechnology and software.
The program requires 32 units, as indicated below.
Required Courses (8 units)
Students must complete the following courses.
- BISC 542 Seminar in Molecular Biology Units: 1
(two semesters, computational biology section)
- BISC 577a Computational Molecular Biology Laboratory Units: 2
- QBIO 502 Molecular Biology for Quantitative Scientists Units: 4
Research Experience (7-9 units)
Students are required to enroll for 7 to 9 units of directed research in a lab approved by the Quantitative Biology Executive Committee or assigned faculty adviser.
- QBIO 590 Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Graduate-Level Elective Courses (7-9 units)
Select two or three of the following courses. Options include 3- and 4-unit courses.
- BISC 545 Modeling and Numerical Techniques for Marine Scientists Units: 4
- BME 530 Introduction to Systems Biology Units: 3
- CHEM 538 Mathematical Techniques of Physical Chemistry Units: 4
- CHEM 540 Introduction to Statistical Mechanics Units: 4
- CHEM 544 Introduction to Quantum Chemistry Units: 4
- CSCI 561 Foundations of Artificial Intelligence Units: 4
- CSCI 567 Machine Learning Units: 4
- CSCI 570 Analysis of Algorithms Units: 4
- CSCI 596 Scientific Computing and Visualization Units: 4
- MATH 505a Applied Probability Units: 3
- MATH 507a Theory of Probability Units: 3
- MATH 541a Introduction to Mathematical Statistics Units: 3
- MATH 541b Introduction to Mathematical Statistics Units: 3
- PHYS 518 Thermodynamics and Statistical Mechanics Units: 3
- PHYS 558a Quantum Mechanics Units: 3
- PHYS 690 Introduction to Physical Biology Units: 3
Foundational Elective Courses (8 units)
Select two of the following courses.
- BISC 478 Computational Genome Analysis Units: 4
- BISC 481 Structural Bioinformatics: From Atoms to Cells Units: 4
- CSCI 455x Introduction to Programming Systems Design Units: 4
- MATH 407 Probability Theory Units: 4
- MATH 408 Mathematical Statistics Units: 4
- QBIO 401 Introduction to Computational Analysis of Biological Data Units: 4
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Students in the Computational Biology and Bioinformatics PhD program take graduate courses that cover topics from biology, computer science, mathematics, statistics and other disciplines. These courses guarantee a broad foundation in our field, and ensure students have sufficient scientific background and intellectual tools for success in research.
The USC Quantitative and Computational Biology (QCB) PhD program trains students to apply cutting-edge computational and quantitative methods to solve complex biological problems. The program offers interdisciplinary courses, research opportunities, and mentorship across various fields of biology, computer science, mathematics, and engineering. Learn more about the QCB curriculum, faculty, and ...
The screening examination consists of written examinations on topics including molecular biology, mathematical probability and statistics, and algorithms. Course Requirements. The students must complete, with no grade lower than a B, a minimum of 60 units of courses carrying graduate credit and approved by the qualifying exam committee.
At the graduate level, the department offers a doctoral degree program that leads to a PhD in Computational Biology and Bioinformatics. The department also offers a progressive MS degree in Quantitative and Computational Biology and an MS degree in Computational Molecular Biology. Ray R. Irani Hall 413G. (213) 821-4464.
graduate. masters; phd; alumni. undergraduate; graduate; more. usc. computational. symposium 2022. biology. celebrating 40 years of quantitative and computational biology at usc ... usc computational biology symposium 2022. the usc qcb 2022 symposium is a recomb 2022 satellite. $400 registration fee. register | may 19-21, 2022 |
Taehyun Ryu, Molecular Biology Graduate Student When I got to USC, I was shocked at how open, approachable, and integrated the faculty were. Whenever I have a question about my work, there's someone I can talk to and get a unique perspective to attack my problem, ranging from molecular biology to computational issues that have no obvious ...
PhD Programs in Biomedical and Biological Sciences (PIBBS) The goal of PIBBS is to recruit top caliber Ph.D. students in the biomedical and biological sciences to USC and to guide them in the identification of a mentor, lab, and research project that will provide rigorous scientific training, an outstanding Ph.D. thesis, and a strong foundation for a variety of science-related careers.
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Molecular & Computational Biology phd program. Join USC and earn your PhD in Molecular & Computational Biology! Applications due December 15, 2022. Share this: ... USC Dornsife News and Events September 30, 2023; 2nd Liquid biopsy surveillance & early detection September 1, 2023;
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USC Catalogue 2022-2023 ... The Department of Quantitative and Computational Biology offers a Master of Science in Quantitative and Computational Biology (QCB), which integrates quantitative graduate courses from the Biological Sciences, Biomedical Engineering, Chemistry, Computer Science, Mathematics, Physics and Astronomy, and Quantitative ...
We are the Edge lab, a group of researchers studying evolutionary genetics at the University of Southern California (USC). We use math, statistics, and computation to study the sources and consequences of genetic variation. We are part of USC's Department of Quantitative and Computational Biology (QCB), which administers the Computational ...
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