PhD student at @StanfordPsych. Previously @CSatUSC. Practices NLProc, Psychology. From ಮಂಗಳೂರು, ಭಾರತ 🇮🇳

Joined April 2017
8 Photos and videos
🎉 Excited to share my first preprint as first-author! We show that population well-being estimation from social media language outperforms surveys and traditional proxies like household income. Link - doi.org/10.31234/osf.io/9hka… (1/5) 🧵👇
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🤖 Our Big Data (1.53B tweets from 5.25M users and 1.9M Gallup responses) analysis pipeline was powered by the Differential Language Analysis ToolKit. Underscoring our commitment to reproducibility, we release our code/artifacts on OSF soon - osf.io/gdq4r (4/5)
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We highlight how computational methods using large-scale language data and open-source tools like DLATK can scale well-being measurement to entire populations. (5/5) Thanks to the amazing team of @JonasP_Schoene Tiffany Hsu @SalGiorgi @HAndySchwartz @JEichstaedt 🙏
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Shashanka Subrahmanya retweeted
We're looking for a part-time front-end developer to join our lab! In this role, you'll work on AI-based mental health web applications and get training in NLP methods. Click on the link below to learn more and apply! forms.gle/4iw8QshQUrM6eS1t7

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Shashanka Subrahmanya retweeted
We are looking for someone to start in the Summer / Fall '25! Please send us your applications by March 7 for full consideration.
We're hiring a postdoc @Penn to advance data science methods for behavioral health and psychology! Full details here: bit.ly/penn_postdoc_nlp_heal… You will work with an amazing interdisciplinary team @PennEngAI @WWBProject @PennLDI @PennCHIBE @PM_Innovation Please apply / RT!
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Shashanka Subrahmanya retweeted
Check out this fantastic commentary on our article (rdcu.be/d0ZHS) by @ALCamerini, published today in @NatureHumBehav 🔗 nature.com/articles/s41562-0…

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Shashanka Subrahmanya retweeted
Excited to share our new article w/@affectivebrain in @NatureHumBehav. Key finding: consuming more negative content online is tied to poorer mental health—and vice versa. 💻🧠 Article link: doi.org/10.1038/s41562-024-0… 🧵 Read on for more insights from the study

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Shashanka Subrahmanya retweeted
We're so proud of our postdoc @JonasP_Schoene for his presentation at the Psychology of Technology Conference in Boston last weekend! It was incredible to see industry, policy, and research minds come together to shape the future of tech and human psychology. 🧠#PsychTech2024
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Shashanka Subrahmanya retweeted
Our Lab is looking to hire 2 new members! We are searching for an enthusiastic data scientist and project coordinator. This role will include training in key psychological natural language processing methods and is an excellent stepping stone for pursuing graduate studies!
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Shashanka Subrahmanya retweeted
news.stonybrook.edu/newsroom… Putting together a decade of learnings on getting more accurate regional well-being assessments from social media into a single pipeline! Lead by @lemon_n_limes with @sal_giorgi @JEichstaedt @WWBProject
Using #socialmedia data can give us more detailed & accurate info about people's #mentalhealth compared to traditional surveys. The authors were able to estimate levels of depression & anxiety down to specific areas & weeks. nature.com/articles/s41746-0…
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Shashanka Subrahmanya retweeted
Using #socialmedia data can give us more detailed & accurate info about people's #mentalhealth compared to traditional surveys. The authors were able to estimate levels of depression & anxiety down to specific areas & weeks. nature.com/articles/s41746-0…
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Shashanka Subrahmanya retweeted
big news from @HAndySchwartz and the @WWBProject team: DLATK- a premier language analysis tool for social sciences and beyond - now available in an open and easy to use format! Work led by @digitalyonko w/ @sal_giorgi @adigan8 @JEichstaedt See 🧵:
🚨 Announcement: DLATK is now available as a colab notebook! github.com/dlatk/dlatk/blob/… DLATK is a suite for end-to-end human language analysis, used in 100 AI/NLP/Psych papers. This was lead by @digitalyonko, joint with @sal_giorgi, @adigan8, @JEichstaedt, and @WWBProject 🧵1/4
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Shashanka Subrahmanya retweeted
I'm giving a talk tomorrow at Columbia-- Public Health (Thur 2/29, 1-2.30pm) -- NLP and LLMs for mental health. “Using Digital Text and LLMs to Understand and Improve Individual and Community Mental Health” If you happen to be around and free, please join! columbiaspiritcenter.com/eve…

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Shashanka Subrahmanya retweeted
🚨 Announcement: DLATK is now available as a colab notebook! github.com/dlatk/dlatk/blob/… DLATK is a suite for end-to-end human language analysis, used in 100 AI/NLP/Psych papers. This was lead by @digitalyonko, joint with @sal_giorgi, @adigan8, @JEichstaedt, and @WWBProject 🧵1/4
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Shashanka Subrahmanya retweeted
Check out this Vox (@voxdotcom) article featuring one of CPWB’s postdocs @betsy_stade discussing AI and mental health outcomes in therapy, what to consider when integrating chatbots into therapy, and the importance of access to mental health care. vox.com/technology/2023/12/1…
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Shashanka Subrahmanya retweeted
‼️🚨 Postdoc Opportunity at @CIS_Penn 🚨‼️ Please RT 🙏 🎓 Are you interested in: -- NLP & ML x health behaviors -- studying heterogeneity -- translational research Apply here: docs.google.com/document/d/e… #DataScience #PostdocJobs #AcademicTwitter @WWBProject @PennMedCDH

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Shashanka Subrahmanya retweeted
To start, we are developing LLMs to take small, well-scoped tasks off the plate of clinicians, such as teaching patients how to reframe their thoughts (what used to be worksheets), educating them about their condition, or walking them through lengthy structured interviews (w/ Shannon Wiltsey Stirman & @RobbWiller ).
AI has enormous potential to improve psychotherapy, but there’s a lot at stake. To help psychologists understand the nuances, HAI Faculty Fellow @JEichstaedt & researcher @betsy_stade outline potential benefits & concerns of deploying AI for mental health. stanford.io/3NO9FJ8
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Shashanka Subrahmanya retweeted
We're #hiring a Data Scientist @Penn to work across @CIS_Penn x @WWBProject If you are enthusiastic about multi-disciplinary research in #AIforSocialGood and have a background in #NLProc & #MachineLearning, please reach out! #hybrid #HiringAlert (application link ⏬)
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