Petar Stojanov
I am a postdoctoral researcher at the Broad Institute of MIT and Harvard, where I am supervised by Prof. Gad Getz. I previously received my PhD in Computer Science at Carnegie Mellon University, where I was fortunate to be advised by Jaime Carbonell and Kun Zhang. Prior to that, I was an associate computational biologist at the Getz Lab.
My research interests span machine learning and computational biology. I am currently very interested in how causal discovery methodology can be applied and further improved for the purpose of analyzing genomic data such as cancer mutation and single-cell RNA sequencing data, in order to understand causal relationships which are are relevant to cancer progression. My doctoral research was in transfer learning and domain adaptation from the causal perspective, and I am still interested and active in this field.
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Google Scholar
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Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Petar Stojanov,
Zijian Li,
Mingming Gong
Ruihu Cai
Jaime Carbonell,
Kun Zhang
NeurIPS, 2021
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Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang,
Mingming Gong,
Petar Stojanov,
Biwei Huang,
Qingsong Liu,
Clark Glymour
NeurIPS, 2020
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Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Petar Stojanov,
Mingming Gong
Jaime Carbonell,
Kun Zhang
AISTATS, 2019
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Data-Driven Approach to Multiple-Source Domain Adaptation
Petar Stojanov,
Mingming Gong
Jaime Carbonell,
Kun Zhang
AISTATS, 2019
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Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Dan A Landau*, Scott L Carter*, Petar Stojanov*, Aaron McKenna, Kristen Stevenson, Michael S Lawrence, et al.
Cell
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Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
Austin M Dulak*, Petar Stojanov*, Shouyong Peng, Michael S Lawrence, et al.
Nature Genetics
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Mutational heterogeneity in cancer and the search for new cancer-associated genes
Jens G Lohr*, Petar Stojanov*, Scott L Carter, Peter Cruz-Gordillo, Michael S Lawrence, et al.
Cell Press
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Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy
*Michael S Lawrence, Petar Stojanov*, Paz Polak, Gregory V Kryukov, Kristian Cibulskis, et al.
Cancer Cell
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Discovery and saturation analysis of cancer genes across 21 tumour types
Michael S Lawrence, Petar Stojanov, Craig H Mermel, James T Robinson, et al.
Nature
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Big thank you to Jon Barron for this template source code.
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