If you will be at any of these upcoming conferences/workshops, please reach out! I’m always happy to discuss research.

• Kris Sankaran Microbiome Data Science. UW Madison Statistics Department Lightning Talks. September 2024.
• Kris Sankaran Microbiome Intervention Analysis with mbtransfer. Joint Statistical Meetings. August 2024.
• Kris Sankaran Topic Models for Multiscale Analysis. Computational Genomics Summer Institute. July 2024.
• Kris Sankaran Interactivity for Interpretable Machine Learning. Computational Genomics Summer Institute. July 2024.
• Kris Sankaran Trustworthy and Adaptable Biological Data Integration. July 2024.
• Kris Sankaran Interactivity, Interpretability, and Generative Models. INFORMS ALIO-ASOCIO. (recording). June 2024.
• Kris Sankaran Semisynthetic Simulation for Biological Data Analysis: Integrative Analysis. (notebooks). Melbourne Integrative Genomics Workshop. June 2024.
• Kris Sankaran Semisynthetic Simulation for Biological Data Analysis: Multivariate Analysis. (notebooks). Melbourne Integrative Genomics Workshop. June 2024.
• Kris Sankaran Semisynthetic Simulation for Biological Data Analysis: Marginal Modeling. (notebooks). Melbourne Integrative Genomics Workshop. June 2024.
• Kris Sankaran Expressive Interfaces for Multi-omics Simulation. Melbourne Integrative Genomics Seminar. May 2024.
• Kris Sankaran Multiscale Analysis of Microbiome Data with Alto. STATGEN 2024. May 2024.
• Kris Sankaran Integrated Views of HIV Acquisition Risk. Susan Holmes Group Meeting. April 2024.
• Kris Sankaran Transparent Synthetic Data Generation. Machine Learning Lunch Meetings. April 2024.
• Kris Sankaran Interpretability: What’s Possible? What’s Next? (recording). BIRS Workshop on Statistical Aspects of Trustworthy Machine Learning. February 2024.
• Kris Sankaran. Simulation in Omics. (quarto, colab). UW Methods for Biological Data Workshop. February 2024.
• Kris Sankaran. Challenges in Phylogenetic Inference (Faculty Introduction). Wisconsin Institute for Discovery Seminar Series. January 2024.
• Kris Sankaran. Interpretability: Beyond Black and White. Susan Holmes Group Meeting. January 2024.
• Kris Sankaran. Expressive Interfaces for Multi-omics Simulation. (quarto, colab, visualization). UW Madison Statistics Seminar. December 2023.
• Kris Sankaran. Student Satisfaction with R vs. Excel in Data Mining and Business Analytics. Decision Sciences Institute. November 2023.
• Kris Sankaran. Visualization in Deep Learning: Theme and Variations. UW Machine Learning Lunch Meetings. November 2023.
• Kris Sankaran. Interactive Multiview Data Science. Wisconsin Institute for Discovery Symposium. November 2023.
• Kris Sankaran. Beyond Black Box Simulation. ASA Section on Statistical Computing Mini-Symposium. November 2023.
• Kris Sankaran. Microbiome Data Science. UW Madison Statistics Department Lightning Talks. September 2023.
• Kris Sankaran. Generative Models for Microbiome Mediation Analysis. Joint Statistical Meetings. August 2023.
• Kris Sankaran. Generative Models for Microbiome Mediation Analysis. EcoSta. August 2023.
• Kris Sankaran. Selective Inference for Computational Genomics (recording). Computational Genomics Summer Institute. July 2023.
• Kris Sankaran. Ecosystem Modeling using Multimodal Data. Microsoft AI for Good Lab. July 2023.
• Kris Sankaran. Transfer Function Modeling of Microbial Community Shifts. Susan Holmes Group Meeting. April 2023.
• Kris Sankaran. Evaluating Causal Microbiome Models. Susan Holmes Group Meeting. January 2023.
• Kris Sankaran. Generative Models for Microbiome Mediation Analysis. CMStatistics. December 2022.
• Kris Sankaran. Microbiome Studies: Design, Infrastructure, and Inference. MSTP M2 Journal Club. November 2022.
• Kris Sankaran. Visualization and Simulation in Microbial Community Analysis. Indiana University Bloomington Statistics Colloquium. September 2022.
• Kris Sankaran. Notes - A Simple Measure of Conditional Independence. Susan Holmes Group Meeting. September 2022.
• Kris Sankaran. Reasoning About Interventions: A Statistical Tour. Wisconsin Institute for Discovery Seminar. September 2022.
• Kris Sankaran. Latent Structure Laboratory. UW Madison Statistics Department Lightning Talks. September 2022.
• Xinran Miao, Hanying Jiang, Kris Sankaran. Generative Approaches to Microbiome Mediation Analysis. Susan Holmes Group Meeting. July 2022.
• Xinran Miao, Hanying Jiang, Kris Sankaran. Meditation and the Microbiome. Susan Holmes Group Meeting. April 2022.
• Kris Sankaran. Revisiting Iterative Data Structuration: Alignment, Refinement, and Simulation. University of Pittsburgh Statistics Seminar. April 2022.
• Kris Sankaran. Generative Models and Experimental Design. Susan Holmes Group Meeting. January 2022.
• Kris Sankaran. Multiscale Topic Visualization in the Microbiome. ML + X Talks, UW Madison Data Science Hub. November 2021.
• Kris Sankaran. Multiscale Analysis of Count Data through Topic Alignment (demo). McMaster Statistics Seminar. November 2021.
• Kris Sankaran. Understanding Machine Learning Algorithms (code, whiteboard). Data Science Nigeria AI Bootcamp. October 2021.
• Kris Sankaran. Recent Multi-Omics Methods and their Ancestors. Susan Holmes Group Meeting. October 2021.
• Kris Sankaran. Latent Structure Laboratory. UW Madison Statistics Department Lightning Talks. September 2021.
• Kris Sankaran. Multiresolution Analysis of Count Data through Topic Alignment. Susan Holmes Group Meeting. August 2021.
• Kris Sankaran. Discovery and Visualization - Invitation to Research. UW Madison Statistics Department Lightning Talks. March 2021.
• Kris Sankaran. Visualization and Representation in Complex Data. UW Madison VISP Talks. November 2020.
• Kris Sankaran. Invitation to Research. UW Madison Statistics Department Lightning Talks. September 2020.
• Kris Sankaran. The Stability of Learned Features. IMS Bernoulli One-World Symposium. August 2020. Recording.
• Kris Sankaran. Formalization of Complex Workflows. Stanford University Data Science Scholars. August 2020.
• Sasha Luccioni, Kris Sankaran, and Tegan Maharaj. Tackling Societal Problems of Climate Change with Machine Learning. Montreal AI Symposium. September 2019.