Congrats to his successful candidacy exam on his work research mild traumatic brain injuries.

Bifarin won this inaugural award from Georgia Tech’s SoCB for his lightning talk on “Lipidome Dynamics DKO” for his ovarian cancer research using machine learning. Congrats Bifarin!

This award will support Daniel’s travel to the Gordon Research Conference in Switzerland later this year.

Bifarin won best talk from the College of Sciences and Daniel won best lighting talk overall. They will both receive travel awards to go to conferences of their choice and continue to present their exciting work.

He will use his award to visit Dr Richard Drake’s lab at the Medical University of South Carolina in Charleston, SC to perform glycan mass spectrometry imaging experiments for ovarian cancer studies.

Read the official announcement here:

https://www.asms.org/about-asms-awards/postdoctoral-career-development-awards

A warm welcome to our newest undergraduate researcher Martha Broadnax who will be doing some exciting research on computational collision cross section predictions.

Thanks for all the great memories in Philadelphia ASMS. See you in 2022!

Catch these great talks and presentations with work from our group this year at ASMS 2021!

Alexandria Van Grouw (WP-236) – Quantitative Metabolite Analysis Using IM-MS for Evaluation of MSC Potency

Tong Shen (ThP-217) – Differential Oxidized Complex Lipids in Bio-specimen by LC-DDA-MS/MS and Iterative MS/MS

Brianna M. Garcia (ThP-223) – Effect of UDP-glucuronosyltransferase (UGT) mutations on the untargeted metabolome and exogenous xenobiotic detoxification capabilities of Caenorhabditis elegans

Carter K. Asef (WOC-3:30PM) – Annotation of Unknowns in Metabolomics: A Comprehensive Workflow Leveraging Machine Learning and In Silico Ion Mobility Collision Cross Sections Predictions

Dmitry Leontyev (FP-306) – Probing the Molecular Basis of Mild Traumatic Brain Injury using Desorption Electrospray Ionization Cyclic Ion Mobility-Mass Spectrometry Imaging

Dmitry Leontyev (WP-105) – Ultrahigh Resolution Imaging Mass Spectrometry Unveils Lipidome Alterations in Mild Traumatic Brain Injury

Charles R. Evans (TOE-8:30AM) – The NIH Metabolomics Consortium Unknown Lipids Project: An Inter-laboratory Study of the ‘Dark Matter’ of Untargeted Lipidomics Data

David Gaul (TP-221) – Training of Rats Alters Lipidomic Profiles of Plasma and Eight Tissues

Markace Rainey (TP 240) – CCS Predictor 2.0: An Open Source Tool for Filtering Out False Positives in Metabolomics

Samyukta Sah (ThP-229) – Time-Resolved Metabolomics of High-Grade Serous Ovarian Cancer in a Mouse Model

Xin Ma (ThP-140) – Ultrahigh Resolution Imaging Mass Spectrometry Reveals Lipidome Alterations in Early-stage Ovarian Cancer

Stephen C. Zambrzycki (MP-045) – Machine Learning Approaches to Identify Pathogens using SPME-DART MS

A warm welcome to our newest graduate student Joe Corstvet who has joined the group developing imaging mass spectrometry methods for single cell analysis

A warm welcome to our newest postdoc Olatomiwa “Bif” Bifarin who will be developing machine learning algorithms for the analysis of information rich metabolomic datasets.