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News

Faculty

Benjamin Izar

Assistant Professor of Medicine and Systems Biology

Faculty

Anum Glasgow

Affiliate Member, Program for Mathematical Genomics

Faculty

Noémie Elhadad

Full Member, Program for Mathematical Genomics

Faculty

Andrew Blumberg

Full Member, Program for Mathematical Genomics

Faculty

Elham Azizi

Full Member, Program for Mathematical Genomics

September 24, 2020

Welcome, Dr. Mohammed AlQuraishi

Mohammed AlQuraishi, PhD

The Department of Systems Biology at Columbia University Irving Medical Center is pleased to welcome new faculty member, Mohammed AlQuraishi , PhD, effective Sept. 21. Dr. AlQuraishi joins Columbia as an assistant professor and as a member of Columbia’s Program for Mathematical Genomics.

Prior to joining Columbia, Dr. AlQuraishi served as a fellow of systems pharmacology and systems biology at Harvard Medical School. He completed his PhD in genetics and master’s in statistics from Stanford University. At Santa Clara University, he earned two bachelor’s degrees in biology and in computer engineering.

A Bay Area transplant via Baghdad and Kuala Lumpur, Dr. AlQuraishi spent most of his teenage years in the San Francisco Bay Area before moving to the east coast for postdoctoral work. Influenced by the dot-com boom of the early 2000s in the Bay Area, Dr. AlQuraishi founded two startups in the mobile computing space before focusing on a career in academia. His circuitous path to systems biology and academic research ultimately blended his genuine interest and expertise in computer programming, mathematics, molecular biology, and science more broadly.

“What drew me to biology is its similarity to software, the fact that cells are always executing a sort of program," he says. "And just like programs, cells are more than a parts list—they are complex and interconnected in myriad ways. To tame this complexity we need synthesis, and that is the promise and challenge of systems biology.”

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Faculty

Mohammed AlQuraishi

Assistant Professor of Systems Biology (in Computer Science)

December 10, 2019

Highly Cited Researchers

Raul Rabadan Highly Cited
Raul Rabadan, PhD, (standing) with Francesco Brundu, postdoctoral research scientist in the Rabadan lab (Credit: Jeffrey Schifman)

Congratulations to Drs. Raul Rabadan and Xuebing Wu who were recently named a Highly Cited Researcher, according to the 2019 list from the Web of Science Group . Overall, Columbia University ranked 15th on the list of global institutions, with a total of 47 Highly Cited Researchers.

The Highly Cited Researchers list, which was released Nov. 19, identifies scientists and social scientists who have produced multiple papers ranking in the top 1% by citations for their field and year of publication, demonstrating significant research influence among their peers.

Xuebing Wu, PhD

Dr. Rabadan is professor of systems biology , with a joint appointment in biomedical informatics, at Columbia’s Vagelos College of Physicians and Surgeons . At Columbia, the Rabadan lab consists of an interdisciplinary team developing mathematical and computational tools to extract useful biological information from large data sets. In 2017, Dr. Rabadan established the Program for Mathematical Genomics , a multidisciplinary research hub that brings together researchers from the fields of mathematics, physics, computer science, engineering, and medicine, with the common goal of solving pressing biomedical problems through quantitative methods and analyses. He also serves as program lead for the Cancer Genomics and Epigenomics Program at the Herbert Irving Comprehensive Cancer Center at NYP/Columbia.

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September 05, 2019

Dr. Tal Korem Named an Early Career Global Scholar

Tal Korem, PhD
Dr. Tal Korem

Tal Korem, PhD, has been named a CIFAR Azrieli Global Scholar, a fellowship that supports leading early-career researchers in science and technology.

Dr. Korem is an assistant professor of systems biology with a joint appointment in obstetrics and gynecology at Columbia University Vagelos College of Physicians & Surgeons, and a faculty member of the Program for Mathematical Genomics . As a global scholar, he is joining CIFAR’s Humans and the Microbiome research program, where his work will focus on harnessing human microbial communities to identify and develop novel diagnostic and therapeutic tools.

CIFAR’s Azrieli Global Scholars program supports its fellows through funding and mentorship, emphasizing essential network and professional skills development. The scholars join CIFAR research programs for a two-year period where they collaborate with fellows and brainstorm new approaches to pressing science and technology problems. Research topics are diverse, ranging from bio-solar energy and visual consciousness to engineered proteins and the immune system.

Dr. Korem is one of 14 researchers out of an applicant pool of 217 selected by the Canadian-based nonprofit organization. This year’s cohort represents citizenship in eight countries and appointments in institutions from Canada, the U.S., Israel, Australia, the Netherlands, and Spain.

-Melanie A. Farmer

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April 01, 2019

Identifying High-Risk Factors of Pancreatic Cancer

Dr. Raul Rabadan is leading a global research project as part of a new grant from the Pancreatic Cancer Collective to identify high-risk factors of pancreatic cancer. (Courtesy of Stand Up to Cancer)

A global team of researchers led by theoretical physicist Raul Rabadan, PhD, professor of systems biology at Columbia’s Vagelos School of Physicians and Surgeons, and Núria Malats, MD, PhD, head of the Genetic and Molecular Epidemiology Group of the Spanish National Cancer Research Centre (CNIO), are working to develop a comprehensive computational framework that will identify high-risk factors for pancreatic cancer.

Armed with a new two-year, $1 million grant from the Pancreatic Cancer Collective, the team intends to attack pancreatic cancer research from multiple disciplines—genomics, mathematics and medicine—to provide an integrated, computational approach to studying genomic, environmental and immune factors that could identify populations at high risk of pancreatic cancer. The need for deeper understanding of the contributing factors to this lethal disease is pressing, as pancreatic cancer is projected to become the second leading cause of cancer-related mortality within the next decade.

Rabadan-led Team for Pancreatic Cancer Collective
Drs. Raul Rabadan and Nuria Malats

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Faculty

Ivan Corwin

Affiliate Member, Program for Mathematical Genomics

Faculty

Simon Tavaré

Affiliate Member, Program for Mathematical Genomics

Faculty

Tal Korem

Assistant Professor, Department of Systems Biology

January 30, 2018

Symposium Spotlights Advancements in Translational Cancer Research

Feb 7-8 Cancer Genomics Symposium

Pictured above, Adolfo Ferrando (left), professor of pediatrics and of pathology and cell biology at Columbia, with Luis Arnes, associate research scientist and first-place winner of the symposium's poster competition; For photos from the symposium, visit the gallery page . Credit: Lydia Lee Photography

A multidisciplinary team of researchers across Columbia University have been busy addressing the complex challenges in basic and translational cancer research. Faculty and investigators are bridging their expertise in fields ranging from mathematics, biology, and engineering to physics, genomics, and chemistry to develop innovative approaches to better understand, for instance, cancer disease progression, drug resistance, and the systems-wide network of tumor evolution.

Central to this ongoing work is research grounded in cancer genomics and mathematical data analysis explored during a two-day conference Feb. 7-8 co-hosted by the National Cancer Institute (NCI) centers at Columbia University Medical Center, Cornell University, and Memorial Sloan Kettering Cancer Center. (Visit the Rabadan Lab YouTube Channel for video of the symposium).

"Genomics is becoming an important tool for the quantitative study of biological systems,” says Raul Rabadan, PhD , professor of systems biology at Columbia and director of the Center for Topology of Cancer Evolution and Heterogeneity and of the Program for Mathematical Genomics . “This meeting organized by four different NCI centers addressed some of the important challenges and new perspectives on the quantitative understanding of cancer using genomics tools.”

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