Welcome to the lab website of Gurinder Singh "Mickey" Atwal.
Fueled by massive amounts of data generated from
DNA sequencing technologies, the Atwal Lab is currently focused on population
genetics, cancer biology and high-performance computing. We
often tackle scientific questions computationally by invoking
theoretical concepts from statistical physics and machine
common thread in our research is the quest to understand collective
biological phenomena from the perspective of the physical sciences. To
this end, we develop and deploy mathematical and computational tools to
address quantitative principles governing the behavior of many-body
biological systems, ranging from molecular interactions in a single
eukaryotic cell to the evolution of the species Homo sapiens.
Our fantastic team of lab members and
collaborators consists of physicists, biologists, mathematicians and
computer scientists and we work closely with experimentalists and
clinicians both here at Cold Spring Harbor Laboratory and around the
world. For more details feel free to browse through our website.
News and Events
Speaking at Festival of Genomics on "Modern genomic techniques: data challenges from the lab to the clinic", San Francisco.
Lecturing at Lake Como Workshop and School on
Cancer evolution and complexity, Lake Como, Italy.
Speaking at Next
generation cancer biology workshop, Beaston Institute, Glasgow,
New prepint on "Learning quantitative sequence-function relationships
from high-throughput biological data" posted
Speaking at the Starr Cancer
Come check out our poster on single-cell DNA analyses at the Biology
of Genomes meeting.
Points Lecture at the New York Genome Center: "Unravelling the
Evolutionary Origins of Cancer".
New "Advanced Quantitative Biology" graduate course begins today. See teaching
page for details.
Co-organizing the RECOMB-CG
Speaking at the Cancer,
workshop, Lake Como School of Advanced Studies, Italy.
Quantitative Biology programming bootcamp
for new biology graduate students.
New prepint on "Statistical mechanics of multistable perception" posted
Ariel Gewirtz joins the lab as part of the 2014 URP program.
"Statistical Physics of Population Genetics and Complex Diseases" talk
at FACM 2014.
New paper published in Neural
"Parametric Inference in the Large Data Limit Using Maximally
"Big data in the biotech industry" seminar at Long Island Forum for
"Equitability" seminar at Cancer Institute of New Jersey.
New paper published in PNAS,
"Equitability, mutual information, and the maximal information
Ace postdoc Bernard Fendler departs to join Brigham and Women's
Quantitative Biology course for new
biology graduate students, CSHL.
"Population genetics of human disease" seminar at UNAM, Cuernavaca,
Quantitative Biology programming bootcamp
for new biology graduate
Computational biology seminar at Philips Research, NY.
Ray Ho joins the lab for a rotation, investigating the frontier of de
novo haplotyping of DNA sequencing data.
Ricki Korff joins the lab as part of the 2013 summer URP program.
"Stress, selection, sex, and the human genome" colloquium at
Renaissance Technologies, NY.
"Big data challenges in cancer systems biology" seminar at Janssen
Research & Development, PA.
Mickey receives the Winship Herr Award for Excellence in Teaching.
Will successfully defends his PhD thesis. Congratulations Dr Liao!
Talitha Forcier joins the lab for a rotation, modeling miRNA-mediated
morphogenesis in plants.
Congrats to Roslyn High School student Paul Rogofsky for winning the
special award in the Intel Excellence in Computer Science competition
for his research project, "On Efficiently Defining the Pancake Network".
New preprint on "Equitability, mutual information, and the maximal
information content" posted on arXiv.
Abram Handly-Santana joins the lab for a rotation, analyzing genetic
interactions in cancer genomes.
New preprint on "Maximally informative models and diffeomorphic modes
the analysis of large data sets" posted on arXiv.
Co-chairing IEEE International Workshop on Genomic
Signal Processing and Statistics (GENSIPS). Come see our presentation
on RNA-Seq analysis and genetic network inference.
Come see presentation on the Indian genome by our collaborators at the
meeting of the American Society of
New paper published in Nature revealing the pivotal role of Foxo1 in
regulatory T cells.
Lead instructor of Quantitative Biology graduate course at the Watson
School of Biological Sciences, CSHL.
New paper published in Yale Journal of Biology and Medicine, reviewing
new approaches to uncovering gene networks in cancer.
New book, "p53 in the Clinics" , published today. Read our
chapter on "The Inheritance of p53".
Come see our accepted presentation at the Mechanisms & Models of
Cancer meeting at CSHL.
Sophie Thomain joins the lab for graduate rotation, applying
information theory to understand miRNA-mediated morphogenesis in plants.
paper published in Frontiers in Neural Circuits, detailing the genetic
expression program in the
developing cerebellar cortex.
Reena Gilani and Paul Rogofsky join the lab
summer of 2012.
Julian Homburger joins the lab as part of the 2012 URP program
Program on the Physics and Mathematics of Cancer, Santa Barbara, CA.
Aboukhalil and Daniel Yun join the lab for graduate rotations.
- 12/04/11 Program Committee of
IEEE International Workshop on Genomic
Signal Processing and Statistics (GENSIPS).
- 8/16/11 New paper published in
Cell identifying a gene, PHLPP1, as a prostate tumor suppressor.
Liu and Robert Aboukhalil join the lab for the summer of 2011,
analyzing gene copy number profiles of tumors.
9th IEEE International Workshop on Genomic Signal Processing and
Statistics (GENSIPS). Cold Spring Harbor Laboratory Announcement.
- 11/02/10 Presentation on
"Asymmetric mutation processes in stochastic models of microsatellite
allele length distributions in humans" at ASHG Annual Meeting.
Atwal named by Genome Technology as one of the top 25 young
investigators in systems biology. See the profile article here,
detailing research on developing new computational algorithms to detect
genetic variants important in cancer risk and progression.