ML & Computational Biology Lead @ Biolojic Design: using AI to design antibody therapeutics. Previously a neuroscientist researching brain networks and memory.
Israel
Joined August 2016
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Excited to share Biolojic Design's new preprint - Dual-Specific Antibody Design Using Artificial Intelligence (bioRxiv, 2026) — biorxiv.org/content/10.64898… (thread 🧵)
On a personal note, I am proud to be a part of this effort by the whole Biolojic Design team. Multibodies can be a game-changer to medical treatments across a variety of clinical fields, and I am looking forward to seeing them improve patients' lives soon.
I usually don’t write political posts on Twitter, but I wanted to clarify a few things about the situation in Israel.
An impressive new work by the great Seth Koslov on medial parietal cortex subdivisions!
Ever notice medial parietal cortex in neuroimaging studies of episodic memory and wonder what's going on there?
In our preprint (biorxiv.org/content/10.1101/…) we identify interleaving subregions responsive to memory-decisions vs semantic content during recognition within individuals.
One of the best things on Twitter just started again - "live tweets" from World War II, following the war in real time (from September 1, 1939). Highly recommended. xitter.cf/RealTimeWWII
Michael Peer retweeted
Come join us in Philly! @epstein_lab @Penn has postdoc openings on NIH-funded projects that use advanced fMRI methods to investigate the neural basis of cognitive maps (broadly defined), spatial navigation, and spatial/nonspatial memory in humans. Collaboration with @NoraNewcombe
Michael Peer retweeted
Excited to share our @NatRevNeurosci paper with @DelaFarzanfar @hugospiers #MorrisMoscovitch:
trebuchet.public.springernat…
Michael Peer retweeted
1/9 Paper is out rdcu.be/cNHoL
Here's some takeaways including new tidbits (good & bad!) since the preprint & even after the paper was accepted.
Large sample sizes are helpful for individual-level prediction. We have known that for quite some time, but the recent...
1/5 Our new preprint doi.org/10.1101/2020.08.10.2… uses meta-learning to boost functional connectivity based prediction of *NEW* phenotypes in small samples. We achieve 100%-400% improvements in many scenarios!
@hetong93 @AvramHolmes @anlijuncn @danilobzdok @AvramHolmes @INM7_ISN
Michael Peer retweeted
We are recruiting participants for fMRI experiments! If you are in the @Penn / Philly area and want to earn up to $95, you can find more info and register here:
🔗forms.gle/d1QmsS6Vj9vXQ78Q6
Michael Peer retweeted
🚨9 DAYS UNTIL APPLICATIONS CLOSE FOR 2022🚨
Join us for our second annual #gradschool recruitment & mentorship weekend for #URM & #firstgen students interested in the mind sciences in collaboration with
@PennMindCORE.
Reply with any questions you may have about the event!
Michael Peer retweeted
New preprint @PsyArXiv from @LinChujun & me! "Fooled by beautiful #data: #Visualization aesthetics bias trust in science, news, and social media." Across 4 studies, we show that people (mis)place more trust in more beautiful graphs. Paper: psyarxiv.com/dnr9s/ Explainer 🧵👇
Michael Peer retweeted
PUBLIC SERVICE ANNOUNCEMENT: You must cross-validate sorted plots!! E.g. peak-latency sorted colormaps of neural activity. Otherwise you WILL find "sequences" out of random noise. Don't believe me? A proof in four lines. Anyone feel like you have seen the last panel before?
Michael Peer retweeted
Very excited to share new work with @AvivMezer in @ScienceMagazine! We show that glial cells in histological slices reveal local fiber orientations in the white matter. Article: science.org/doi/10.1126/scie…. Code: github.com/MezerLab/NisslST.
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