We are entering the fifth era of science.
Mathematician @ninamiolane.bsky.social explains, "Instead of hoping AI will magically handle limited, noisy, specialized data, we need experts to tailor algorithms to the realities of fields like biology and medicine."
Read the full article here:
🚀 Build fairer personalized ML!
Our work introduces tools to evaluate trade-offs in accuracy, fairness & explanation quality.
📷Read “When ML Gets Personal” here: [http://arxiv.org/abs/2502.02786] @ninamiolane.bsky.social @gbg141.bsky.social
📊Experiments on real-world healthcare MIMIC-III data reveal:
• Some subgroups benefit from personalization, others face worse predictions.
• Prediction gains ≠ better explanations.
• Fairness-aware ML practitioners need tools to assess when personalization helps vs. harms
Key Contributions
✅Framework to evaluate personalization across ML models
✅Finding:Fairness in accuracy≠fairness in explainability
✅New theoretical bounds on reliably evaluating personalization
✅Evidence:Regression models can handle more attributes than classification models
Personalization is everywhere, from healthcare to recommendations.
While using user attributes (e.g. age, race) can boost accuracy, does it always? And at what cost to model explainability? (👇See table below for real gains or losses from personalizing a model with race and age).
🤩 Personalized ML is the engine of data-driven digital twins...
...but how does personalizing a model impact its accuracy and explainability, especially in low-data regimes?🧐
Find our paper w/ @louisacornelis.bsky.social @gbg141.bsky.social Haewon Jeong at #ICLR2026🇧🇷!
@ucsbengineering.bsky.social
To the seniors weighing their options: Choose the place where you can be your best self, both in the lab and out of it.🎓
If you want world-class ECE in a coastal environment that fuels innovation, look no further.
Learn more: bit.ly/41a6zVC
The secret to @ucsantabarbara.bsky.social? Our culture. 🤝
We believe #engineering is a team sport. Our students thrive in a collaborative environment where you’re supported by peers and mentored by experts. It’s high-performance rigor with a community heart.
Come join us at @ucsbengineering.bsky.social !
The tutorial "Flow With What You Know" was just awarded "Best Blog Post" for ICLR 2025! cf. iclr-blogposts.github.io/2025/about/
Been musing on the geometry of disentangled representations & factorization: Doing it by construction seems like a limiting inductive bias.
What if you just add a soft geometric constraint to the loss and let the latent space sort itself out? Easy and tunable. 1/3
Thinking About Thinking is a nonprofit organization bringing together researchers, policymakers, and builders to engage with the most important open problems shaping artificial intelligence.
I’m pleased to share that I've been selected as a Fellow of the 2026 Thinking About Thinking Program!
I’m grateful to join a global, research-led ecosystem engaging thoughtfully with how AI is developed, governed, and understood.
@geometric-intel.bsky.social @ai-ucsb.bsky.social
And my desk has an ocean view 💅
🏆 #UCSB ranks #1 in scientific impact among public universities (#3 overall)!
Congratulations to our researchers!
@ucsantabarbara.bsky.social @ucsbengineering.bsky.social @uofcalifornia.bsky.social
Exciting News! 🎓✨
Our new online professional master’s program—the Master of Engineering and Technology Leadership (METL)—is launching in Fall 2026:
We Are Hiring its Executive Director!
Join us in building the future of engineering @ucsantabarbara.bsky.social: lnkd.in/gbe5fhHU
We’re excited to kick off this year’s REAL AI Seminar Series! 🤖✨
Thrilled to start with @fatihdinc.bsky.social , thanks for joining us to launch the series.
Dr. Fatih Dinc gave a wonderful talk on biological versus artificial neural networks 🤯 @ucsbece.bsky.social @geometric-intel.bsky.social
Love to see it from @fatihdinc.bsky.social 😼🐼
Looking forward to seeing future talks from @ai-ucsb.bsky.social @ucsbece.bsky.social
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Exciting news from OCAQpi! Researchers @ucsbengineering.bsky.social @ucsantabarbara.bsky.social have advanced photonics with PZT-integrated SiN microcomb resonators. 🌟 Dive into this innovation: https://tinyurl.com/258gp9x4
@abbybertics.bsky.social s reports from campus about an education system in crisis, and asks what the future might look like as students begin to tap into a tool that can think quicker, write faster and teach better than many of their instructors.
🎙️Listen here: www.economist.com/podcasts/202... !
As students tap into #AI tools that can teach better than their instructors, what does the future of education look like?
👉 @abbybertics.bsky.social from our lab @geometric-intel.bsky.social explores this question for the #TheEconomist !
Thus far, engineering has outpaced theory in the science of intelligence. But Tomaso Poggio is hopeful that theories can catch up.
#neuroskyence
www.thetransmitter.org/brain-inspir...
Thrilled to share @ninamiolane.bsky.social 's OpEd in @insidehighered.com with Annie K. Lamar!
Open-source software and scientific infrastructure fuel discovery by removing barriers – not creating them. Time to start treating open science as the public good it is🔬💡
The way forward is to invest in true open-source software and infrastructure.
Read our full oped w/ Annie K. Lamar @ucsantabarbara.bsky.social #publicvoices of TheOpEdProject:
insidehighered.com/opinion/view...
@geometric-intel.bsky.social @ai-ucsb.bsky.social @ucsbengineering.bsky.social
🙌 To be sure, *some* companies are truly dedicated to open-source.
By generously sharing their resources, they have dramatically advanced science.
It's time universities do the same.
👩🔬 Science advances slowly, across decades.
Commercial tools, by contrast, advance quickly through mergers, pivots and quarterly earnings reports.
Tethering our infrastructure to private companies is like writing knowledge in disappearing ink.
🦾 If we continue to rent the foundations of our knowledge from private companies, we should not be surprised when the floor gives way beneath us.
💵 Without proper funding structures, essential research tools remain fragile, often maintained by overworked volunteers.
Universities must begin funding engineers at competitive salaries and recognizing software development as a legitimate form of scholarship.
👩💻 Universities are reluctant to fund software engineers at competitive salaries.
A skilled engineer can earn 5x more in industry than in academia, yet most grants deprioritize dedicated engineering roles.