Conferences

Online Short Courses

January 5 - 6, 2023

Two 2-day short courses available ONLINE, Thursday & Friday, January 5 & 6, 2023. These two online courses will NOT be held in-person at the 2023 Annual ASMS Conference.

Online courses are each day 9am-5pm Eastern Time (EST). See planned daily schedule below.

Advance registration deadline is December 9, 2022. After Dec. 9, fees increase by $50.

Go To Online Short Course Registration

If you need to register another person or prefer to pay by check, please use this Printable Registration Form.

High Resolution Mass Spectrometry for Qualitative and Quantitative Analysis: An Introduction

Instructors: Matthew Blatnik (Pfizer), Cong Wei (Biogen) and Graham West (Pfizer)
Description     •     Summary slides 


Untargeted Metabolomics: From Basic Methods to Advanced Workflows and Isotope Labeling

Instructor: Gary Patti (Washington University-St Louis)
Description

 

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Fees & What's Included

Fees for online-only courses include advance email download of course slides and Zoom invite to online course (to be sent 3 days before course start). Recordings will NOT be available.

  • Two-Day Courses: $400 for ASMS members; $700 for non-members; $150 for students. 
  • Advance registration deadline is December 9, 2022. After Dec. 9, fees increase by $50.

Cancellations. $40 processing fee for cancellation notices received by info@asms.org fifteen days (15) prior to the course start date. No refunds if cancellation is within 15 days of course start.

Daily Schedule for Online Short Courses

Registrants will receive download link for instructor slides and Zoom meeting link three days before the short course start date.

All online short courses will try to follow this schedule (EDT):

9:00-10:15 am, Course instruction
10:15-10:45 am, Break
10:45am-12 pm, Course Instruction
12:00-1:00 pm, Lunch
1:00-2:30 pm, Course instruction
2:30-3:00 pm, Break
3:00-5:00 pm, Course instruction

CANCELLED due to low enrollment - Chemical Analysis of Cannabis and Cannabis-Derived Products

Instructor: Jack Henion, Professor Emeritus, Cornell University
Description    •     Summary Slides