Upcoming Events

This session focuses on editing tools within HPC and is designed to help participants become comfortable working in a Linux-based research computing environment. It introduces the most common text editors used on HPC systems, Vim, Emacs, and Nano, and explains when and why each is used, with special emphasis on Vim. Since Vim will be the primary editor used throughout the workshop series, building familiarity here will make everything that follows much easier. This interactive session will cover best practices in Vim, including navigation, editing, and working efficiently within files, giving participants the practical foundation needed to confidently manage and modify files on a cluster. This session is part of the CUIT Research Services HPC Training Series, designed to onboard researchers to the shared high-performance computing (HPC) resources at Columbia. Led by HPC engineers, these webinars will introduce participants to Columbia’s shared on-premise HPC cluster (Insomnia) and provide foundational skills for effectively leveraging its resources. Whether you're new to HPC or looking to refine your expertise, this series will guide you through essential tools and workflows for running computational research efficiently. You may take one or all of the courses, depending on your needs, though we recommend attending all sessions for the best experience. Thursday, April 9 | HPC Training #1: Introduction to High-Performance Computing (HPC) Tuesday, April 14 | HPC Training #2:  Editing Tools within HPC (Vim) Thursday, April 16 | HPC Training #3: Navigating an HPC Environment with Linux Tuesday, April 21 | HPC Training #4: Scheduling Your First HPC Jobs with Bash Thursday, April 23 | HPC Training #5: Optimizing HPC Workloads with Python Tuesday, April 28 | HPC Training #6: Harnessing Accelerated HPC Workloads with Singularity

This will be a panel discussion with faculty in charge of doctoral admissions, discussing the PhD or DrPH application process. This event is open to Columbia Mailman students and alumni. By registering for this event, you are agreeing to adhere to Columbia University's Code of Conduct.

Injury Epidemiology Unit Seminar   Impact of Employment Laws on Occupational Suicide Jon Davis, PhD Assistant Professor, Department of Occupational and Environmental Health, Iowa City, Iowa   April 27, 2026 1-2pm   Also on zoom.   Location Hammer Health Sciences Building Room LL110 701 West 168th Street New York, NY 10032  

This three-day intensive boot camp starts with a fast-paced training session on single cell data collection and basic analysis workflows on the first half-day, then continues with in-depth sessions on advanced methods for phenotyping single cell populations using systems-biology approaches. The third day is dedicated to spatial transcriptomics data analysis, the study of microenvironmental interactions (e.g., tumor-immune), and select topics in AI applied to transcriptional data analysis.  By the end of the workshop, participants will be familiar with the following topics: Gene Expression Analysis of scRNA data (pre-processing, quality control, filtering, normalization) Cluster Analysis Cell Type Identification Regulatory Network Analysis Master Regulator Analysis Sequencing- and Imaging-based Spatial Transcriptomics technologies Spatial data analysis and integration with scRNASeq data Analysis of spatially resolved cell states and microenvironmental interactions Audience and Requirements Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are a few requirements to attend this training: Each participant must have an introductory background in statistics. Each participant must be familiar with basic R & Python. Each participant must have a free, basic RStudio Cloud account prior to the first day of the workshop for lab sessions. (Extra) Each participant will benefit from having a free basic Google/Gmail account to access Google Colab for additional material.  **NEW for 2026:** Optional Day 3 will be dedicated to Spatial Transcriptomics data analysis! Attendees will have the option to attend either the: First 2 days of this course. All 3 days of this course. Just the last day of this course: The 3rd day will feature a high-level session focused on spatial transcriptomics and select advanced topics in transcriptional data analysis. To ensure a productive learning experience, participants in Day 3 would benefit from having prior basic knowledge of transcriptional data analysis. Additional Information Register for the Single Cell Analysis Boot Camp. Subscribe for updates on new Single Cell Analysis Boot Camp details or registration deadlines. Contact the Single Cell Analysis Boot Camp team.