Talks

• June 2024, “Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions”, Sixth ICSA-Canada Chapter Symposium, Niagara Falls, Canada

• June 2023, “Statistical curve models for inferring 3D chromatin architecture”, University of Waterloo Statistics and Biostatistics Seminar, Waterloo, Canada

• May 2023, “Statistical curve models for inferring 3D chromatin architecture”, Statistical Society of Canada Annual Meeting, Ottawa, Canada

• February 2023, “Statistical curve models for inferring 3D chromatin architecture”, McMaster University Statistics Seminar, Hamilton, Canada

• November 2022, “Canonical Correlation Analysis in high dimensions with structured regularization”, University of Mississippi Medical Center, Virtual

• August 2022, “Canonical Correlation Analysis in high dimensions with structured regularization”, Joint Statistical Meeting, Washington, USA

• November 2021, “Intelligent Rollouts for Office”, Machine Learning & Data Sciences Conference at Microsoft, Virtual

• August 2021, “Canonical Correlation Analysis in high dimensions with structured regularization”, Joint Statistical Meeting, Virtual

• October 2020, “Canonical Correlation Analysis in high dimensions with structured regularization”, Industrial Affiliates Annual Conference at Stanford University, Virtual

• August 2020, “Principal curve approaches for inferring 3D chromatin architecture”, Summer School of Machine Learning at Skolkovo Institute of Science & Technology, Virtual

• August 2020, “Principal curve approaches for inferring 3D chromatin architecture”, Joint Statistical Meeting, Virtual

• November 2019, “A weighted principal curve approach to inferring 3D chromatin architecture”, Industrial Affiliates Annual Conference at Stanford University, Stanford, USA

• September 2016, “The geometry of iterations defined on measure metric”, 19th meeting of the Geometrical Seminar, Zlatibor, Serbia

• April 2014, “The continuous case of cancer spread problem”, Lomonosov Conference at Moscow State University, Moscow, Russia

• September 2013, “Mathematical model of cancer spread”, Probability, Analysis and Geometry, Ulm, Geometry

Poster sessions

• August 2023, “Canonical Correlation Analysis in high dimensions with structured regularization”, New Researchers Conference, Toronto, Canada

• June 2022, “Statistical curve models for inferring 3D chromatin architecture”, Statistics in the Big Data Era at Simons Institute, Berkeley, USA

• April 2022, “Canonical Correlation Analysis in high dimensions with structured regularization”, Data Science Inaugural Conference at Stanford University, Stanford, USA

• June 2021, “Canonical Correlation Analysis in high dimensions with structured regularization”, DBDS Scientific Retreat at Stanford University, Stanford, USA

• September 2019, “Chromatin reconstruction via Weighted Principal Curves”, Machine Learning Summer School at Skolkovo Institute of Science & Technology, Moscow, Russia

Participation

• 2024, Statistical Society of Canada Annual Meeting, St. John's, Canada

• 2023, Joint Statistical Meeting, Torotno, Canada

• 2020, Summer School of Machine Learning at Skolkovo Institute of Science & Technology, Virtual

• 2019, Machine learning Summer School at Skolkovo Institute of Science & Technology, Moscow, Russia

• 2016, Advanced Statistics and Data Mining Summer School at Polytechnic University of Madrid, Madrid, Spain