Cherish Ardinger, PhD

@cherishardinger.bsky.social

She/her. NIAAA F32 & Rutgers Presidential Postdoc Fellow in the Huda lab at Rutgers | researching neural and glial mechanisms of addiction cherishardinger.com

Our new study ⬇️inspired by the question: does psilocybin influence meta-learning and cortical processing of unexpected uncertainty? Why is this important? Meta-learning may be critical for therapeutic effects of psychedelics and how the trip creates a window that facilitates clinical intervention

Stoked to announce I’ve been awarded my K99 from NIDA, where I will be investigating central and peripheral immune mechanisms underlying drug-seeking behavior in a novel model of comorbid HIV and opioid-cocaine polysubstance use! Eternally grateful to @jbarkerlab.bsky.social for her mentorship!

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Let's learn a lesson from the nearly 500K of us who mobilized to comment on the OMB rules. We can leave the sidelines, take action and it can make a difference. After 15 months of inaction, our scientific societies finally woke up and mobilized members. It doesn't stop there 1/n

496,769 comments received

For folks asking why bother commenting because the OMB won't care: comments help build cases for the courts by explicitly laying out harms. That's why it's really important to have your comments be as specific as possible. Also, contact your senators and reps! They actually do care about this.

Jacquelyn Gill@jacquelyngill.bsky.social · 4w ago

Monday is the deadline for public comment! The Heritage Foundation has been mobilizing its members to leave comments in favor of the rule change, so every unique comment matters (don’t use a form letter or copy/paste—similar comments are batched and treated as one).

🚨 It's that time of year again! 🚨 We are happy to share that we are returning to a nationwide search this year for our SPINE postdoc fellows! Application instructions, meeting registration, and relevant dates can be found in this flyer or at SPINEphilly.org

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Our new preprint is out!! The human brain runs on ~20 watts. Computers and modern AI systems require vastly higher energy. This gap raises a fundamental question: how does the brain compute so efficiently? In our new study, we take a critical step toward measuring and understanding this directly 1/3

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · last mo.

Learning Shapes the Energy Cost of Neural Tasks https://www.biorxiv.org/content/10.64898/2026.07.01.735889v1

“Our findings provide rare, prospective evidence that large-scale, targeted undergraduate training programs can move the needle on diversifying the US biomedical research workforce…the observed effects are unlikely to be explained by preexisting academic preparation or initial aspirations.” 🧪

Jeremy Berg@jeremymberg.bsky.social · last mo.

The paper from Woodcock et al. was published recently in Science Advances. www.science.org/doi/10.1126/... The results demonstrate a 2-fold increase in PhD completion. 2/16