#Asilomar2023
Tonight at #Asilomar2023: Promises and Perils of ML/AI in mass spectrometry (panel discussion). Things I'm curious to learn: "ownership" rights of the training data when large models (LLMs?) are built, consequences of model "hallucinations", consequences of bad test/train splits. More ideas?
October 15, 2023 at 9:05 PM
Summary of my quant proteomics #Asilomar2023 talk:
1. sample space >>> throughput(e.g. chemical compounds in drug screening, cell types in biology, etc)
2. Interesting things are typically rare
3. Followup work will filter out false positives, but you can never recover a false negative
October 15, 2023 at 5:57 PM
Beautiful morning for some debates and discussions about quantification in mass spectrometry! #Asilomar2023
October 15, 2023 at 4:43 PM
I unironically enjoy putting together talks because it forces me to take a step back from the day-to-day science and make sure I'm still working towards the bigger goal. Plus an excuse to get back into the literature and see all the cool stuff other people are working on #Asilomar2023 #proteomics
October 12, 2023 at 8:50 PM