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THE TEAM

The Laughney Lab integrates powerful systems biology methods – including massively parallel, single cell sequencing and quantitative imaging technologies – with mouse models of metastasis and injury response to better understand the adaptive abilities of tumor cells and their interplay with anti-tumor immunity. We are affiliated with the Institute for Computational Biomedicine, the Department of Physiology, Biophysics and Systems Biology, the Tri-Institutional PhD Program in Computational Biology and Medicine, and the Meyer Cancer Center at Weill Cornell Medicine.

Theresa Neal-Provenzano - Department Administrator

The Nucleus

Ashley Laughney, PhD

Assistant Professor,
Institute for Computational Biomedicine
Department of Physiology and Biophysics
Weill Cornell Medicine
New York, NY

Initially trained as an engineer and in systems biology, Ashley developed functional spectroscopy (Dartmouth College) and single cell imaging and genomics methods in cancer biology (Harvard Medical School and Memorial Sloan Kettering) to quantify functional diversity in individual tumor cells. Combining high-throughput single cell transcriptional profiling with development of innovative computational tools and recruited expertise in synthetic biology, her laboratory aims to understand how the same protein can adapt multiple functions during an evolutionary, multi-cellular process like cancer progression. Metastasis requires diverse functions including dissemination, adaptation to a less hospitable microenvironment, immune evasion and regeneration.

Chromosomal instability (CIN) is a key driver of this transition through chronic sensing of genomic double-stranded DNA (dsDNA) in the cytosol (Bakhoum, Ngo, Laughney et al., Nature 2018). Recently, her lab has shown CIN-induced chronic STING signaling can be unleashed by loss of polycomb repressive complex 1 activity, enabling uveal melanoma metastasis (…Laughney, Nature Communications 2021). Now, Ashley and her team are developing powerful tools to systematically quantify CIN-dependent ligand effects on the tumor microenvironment, to identify cellular and tissue contexts that critically shape the functional output of multi-modal proteins at distinct stages of disease progression.

Affiliated Research Programs:

Tri-Intstitutional PhD Program in Computational Biology and Medicine

Physiology Biophysics and Systems Biology

Cancer Genetics, Epigenetics and Systems Biology at Meyer Cancer Center

Melissa Hubisz, PhD

Programmer/Analyst

Melissa received her PhD in Computational Biology from the Williams and Siepel labs at Cornell University in 2019. She has a B.S. in engineering from Caltech and an M.S. in human genetics from the University of Chicago.

Mathew Deyell, PhD

Postdoctoral Fellow

Matthew is an experimentalist specializing in Systems and Synthetic biology. He received his PhD from the University Sorbonne Paris Cite in 2018 and a Bachelor of Science in Cellular, Molecular and Microbial Biology from the University of Calgary. His thesis focused on understanding genetic regulatory networks in E. coli with genotype to phenotype mapping of global transcriptional regulators. He also helped developed droplet-based approaches for RNA sequencing of bacteria with combinatorial antibiotic screening. Matthew is motivated to understand how interactions between genetic perturbations give rise to emergent behaviors in cancer and influence the evolution of metastasis.

Ethan Earlie, MS

PhD Student
Tri-I Computational Biology & Medicine

Ethan received his M.S. in Computational Biology from Stony Brook University in 2020 after receiving his B.S. in Applied Mathematics and Statistics from Stony Brook in 2019. After which, he joined the lab as a computational research assistant working on single-cell genomics towards studying intra-tumor heterogeneity and the immune landscape of the tumor microenvironment. As a PhD student, he aims to develop computational methods for modeling cellular interaction dynamics in metastatic progression.

Karolina Budre, MS

Staff Associate

Karolina received her Bachelor of Science in Genetics and Master of Science in Molecular Biology from Vilnius University in 2019. During her bachelor studies she was an intern in Thermo Fisher Scientific, where her main focus was gene repression in E. coli using CRISPR technology. Her graduate work was done in the lab of Professor V. Siksnys, one of the pioneers of CRISPR-Cas research; it focused on characterization of novel CRISPR-Cas systems and their application in genome engineering. Karolina is now eager to translate her expertise in genome manipulations to better understand cancer metastasis and cellular responses to inflammation.

Austin Varela, BS, BA

Graduate Student
M.S. in Computational Biology

Austin received a B.S. in Computational Biology and a B.A. in Data Science from the University of Rochester in 2020. He applied novel computational techniques rooted in evolutionary biology to predict protein-protein interactions in the Werren Lab, for which he defended an original Honor’s research thesis. He then applied this work towards studying COVID-19 the subsequent year. He is currently pursuing an M.S. in Computational Biology and is interested in developing novel, data-driven methods for systems biology research with a specific interest in single-cell datasets.

Amelia Ohnstad, BS

PhD Student
Weill Cornell BCMB Program

Amelia received her Bachelor of Science in Biochemistry and molecular biology from Carroll College in Helena, MT. She then worked for 2 years as a laboratory technician at Dartmouth College in the lab studying mechanisms of non-canonical autophagy. As a PhD student, Amelia is excited to understand how cell specific contexts give rise to emergent functions of proteins throughout cancer metastasis.

Alumni

Noam Finkelstein, PhD

Postdoctoral Fellow

Noam completed his PhD in the Shpitser Lab at Johns Hopkins University, working on methods for reasoning about causality using biased data. He holds an MSE in computer science and an ScM in biostatistics from JHU, and a BA in politics, philosophy and economics from the University of Oxford. He is now a Data Scientist at DELFINA.

Collaborators

Samuel Bakhoum, MD, PhD

Collaborator

Samuel is a Physician-Scientist and Assistant Member in the Human Oncology and Pathogenesis Program at Memorial Sloan Kettering Cancer Center. His lab studies chromosomal instability in tumor evolution and metastasis. Together with the Laughney lab, we explore cell type-specific inflammatory response programs and how they modulate crosstalk between the tumor and its microenvironment.

Sergi Elizalde, PhD

Collaborator

Sergi is a Professor of Mathematics at Dartmouth College, with an expertise in number theory and combinatorics. He frequently collaborates with the Laughney lab to model tumor cell evolution based on single cell measurements.

Join The Team

Prospective candidates should email LaughneyLabPositions@gmail.com the following as a single PDF:
(1) a cover letter describing your current and future research interests,
(2) your CV, and (3) names and contact information for three references.

Graduate Students – Please contact Ashley directly to arrange a meeting to talk about the research in the lab. Ashley is happy to jointly advise students and is open to students from other departments.

Postdocs – Please additionally send up to two reprints and arrange for three letters of reference to be emailed directly to LaughneyLabPositions@gmail.com on your behalf. Postdoctoral applications will not be reviewed until all letters of reference are received.

We are open to applicants from a variety of backgrounds, including both theory and experiment.

Principle Investigator:
Ashley Laughney, PhD
The Wet Lab:

Meyer Cancer Center
Belfer Research Building
413 East 69th Street

The Dry Lab:

Weill Greenberg Center
1305 York Avenue

Ashley’s Office:

Weill Greenberg Center
1305 York Avenue

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