PhD Candidate @StanfordEng 🥼| @StanfordBioX & @NSF Graduate Research Fellow | @Stanford_PMHW & @LivingMatterLab 🧠 | @CUSEAS ’21 🎓
Palo Alto, CA
Joined June 2022
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Check out our recent work demonstrating that the scalp-based Beam/F3 method is a reliable way to target the dLPFC in #TMS for depression! We learn more by integrating personalized E-field models… 👀
With @NoahSPhilipMD, @LMWilliams_PhD, and others.
👉 sciencedirect.com/science/ar…
Divya Rajasekharan retweeted
Can changing how we think change how we feel? 🧠
Join us at Stanford for the 5th Annual Precision Mental Health Symposium!
📅 Sept 26, 2025 | 📍 Stanford LKSC
🔬 Theme: Psychiatry, Neuroscience & AI
🎟️ Register: med.stanford.edu/pmhw/2025-s…
Divya Rajasekharan retweeted
New paper in Applied Energy! Transformers can be overloaded from many EV chargers in a neighborhood. We propose a flexible BESS sharing scheme to split BESSs into individual and shared portions, offering utilities an alternative to transformer upgrades.
sciencedirect.com/science/ar…
Divya Rajasekharan retweeted
We're hiring a new #TMS assistant. Ideally a recent grad looking to work for a few years in New York before applying to medical or graduate school. Ample opportunities to present and publish data. If aware of any excellent candidates, please forward!
bit.ly/4l5wzcW
It was a pleasure to host Dr. Jonathan Downar at Stanford to hear his insights about the future of #TMS! So many brilliant researchers are working to ensure treatment efficacy, but this was a great reminder that we also need to think about accessibility & scalability. 🤔
Hear Dr. Jonathan Downar speak about his incredible vision to accelerate the delivery of #TMS to reach 1 billion (!) patients struggling with transdiagnostic functional impairments!
👉 youtube.com/watch?v=Nj_3Hyph… (nearly 500 views already!)
Divya Rajasekharan retweeted
Hear Dr. Jonathan Downar speak about his incredible vision to accelerate the delivery of #TMS to reach 1 billion (!) patients struggling with transdiagnostic functional impairments!
👉 youtube.com/watch?v=Nj_3Hyph… (nearly 500 views already!)
Divya Rajasekharan retweeted
Congratulations @mmadore - a leader in #TMS and richly deserving of this recognition for her hard work.
Thrilled @mmadore received recognition through this award! So glad to have the opportunity to nominate such an exceptional collaborator and leader, directing the VA TMS national clinical program!
Divya Rajasekharan retweeted
RCT: Stratifying individuals by baseline negative affect circuit profiles found that 120mg of MDMA improved neural and behavioral responses in those with heightened amygdala reactivity. ja.ma/4jwVUvI
@warmxue @LMWilliams_PhD @Stanford_PMHW
Divya Rajasekharan retweeted
Congratulations brilliant @divyardotdotn on her prestigious Bio-X Travel Award! Check out Divya's exciting new paper - pubmed.ncbi.nlm.nih.gov/4019… - reporting on personalized TMS models, presented at @SOBP with @NoahSPhilipMD, @mmadore & the @Stanford_PMHW team, #nihrfunded
Divya Rajasekharan retweeted
New paper in JAMA Network Open!
We found that individuals with high amygdala threat reactivity at baseline showed greater normalization of brain function and improved threat processing under 120mg MDMA.
A step toward personalized MDMA therapies!
RCT: Stratifying individuals by baseline negative affect circuit profiles found that 120mg of MDMA improved neural and behavioral responses in those with heightened amygdala reactivity. ja.ma/4jwVUvI
@warmxue @LMWilliams_PhD @Stanford_PMHW
Divya Rajasekharan retweeted
Viewpoint describes @NoahSPhilipMD’s experiences teaching transcranial magnetic stimulation in Ukraine during the war.
ja.ma/428RtkJ
Divya Rajasekharan retweeted
Why do some refractory depression patients respond to TMS while others don't? New @biorxiv_neursci preprint: We identified distinct signatures that predict treatment outcomes by combining TMS-EEG with whole-brain computational modeling in 90 patients.
biorxiv.org/content/10.1101/…
Divya Rajasekharan retweeted
🧠 Join us for the 5th Annual Stanford Precision Mental Health Symposium on Sept 26, 2025!
Bridging Psychiatry, Neuroscience and AI
Explore the future of mental health with leading experts in science, tech, and care innovation.
📍 In-person at Stanford University
🔬 Discover cutting-edge research
💬 Engage with thought leaders
🌱 Network with future collaborators
🎓 Learn how precision approaches are transforming diagnosis & treatment
Don’t miss this full-day event at the intersection of science, technology, and clinical innovation.
🔗 Register now: med.stanford.edu/pmhw/2025-s…
#StanfordPMH #MentalHealth #PrecisionPsychiatry #Neuroscience #MedTwitter
Divya Rajasekharan retweeted
The electric fields given off by TMS are super distributed: this is a great one for piecing apart the implications of that spread for individual treatment outcomes. Congrats Divya!
Check out our recent work demonstrating that the scalp-based Beam/F3 method is a reliable way to target the dLPFC in #TMS for depression! We learn more by integrating personalized E-field models… 👀
With @NoahSPhilipMD, @LMWilliams_PhD, and others.
👉 sciencedirect.com/science/ar…
Divya Rajasekharan retweeted
🎉Congratulations to Divya Rajasekharan (@divyardotdotn), PhD Candidate in Mechanical Engineering and graduate student at the Stanford Center for Precision Mental Health, on receiving the prestigious Bio-X Travel Award! 🌎✈️
This award supports her innovative research at the intersection of engineering and mental health — and helps bring her work to a global stage. 🧠🔬
Learn more about the @StanfordBioX Travel Award: biox.stanford.edu
#StanfordBioX #PrecisionMentalHealth #EngineeringResearch #TravelAward #StanfordEngineering #MentalHealthResearch
Infinite thanks to @Stanford_PMHW, @StanfordBioX, @NSF, @NIMHgov, & @VAResearch for their support of this work 🤩
3. The effect of interaction between TMS E-fields and functional brain networks on clinical outcome was evident within 5 TMS sessions, i.e a fraction (5/30) of the full TMS dose. This suggests that robust responses to TMS can occur early when the right functional network is hit.