The First Ivy League Bachelor of Science in Engineering in Artificial Intelligence

Pennsylvania, PA
Joined February 2024
Penn Engineering AI retweeted
Penn Engineering
@PennEngineersJul 27
Penn Engineering researchers have developed PeptiVerse, an open-source AI platform that could help identify promising peptide drug candidates earlier in the discovery process. Published in @NatureComms, the platform predicts key drug properties before lab testing, helping researchers focus on the most promising candidates. bit.ly/4wQHfSy @PennEngAI @CIS_Penn @pennbioeng
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersJun 1
Ferrari CEO Benedetto Vigna joins Vijay Kumar in episode 12 of Penn Engineering’s Innovation & Impact podcast to discuss electric vehicles, innovation leadership and balancing new technologies with Ferrari’s legacy of performance and design.
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersMay 26
Ferrari CEO Benedetto Vigna joins Vijay Kumar on the Penn Engineering podcast to discuss his journey from physicist and semiconductor innovator to leading one of the world’s most iconic automotive brands. The conversation explores Ferrari’s evolving approach to electrification, digital transformation and high-performance engineering, as well as the importance of pairing deep technical expertise with long-term vision. youtu.be/XOijfgbLDS0 @PennEngAI
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersMay 15
U.S. @SenMcCormickPA visited @NSF AIRFoundry for a close look at how AI and automation are accelerating RNA science, and emphasized the importance of federal research support to help move ideas from the lab toward real-world impact. “Every time I come to Penn for a visit,” said McCormick, “I just leave inspired by the incredible discoveries and progress.” @PennEngAI
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersMay 5
Penn Engineering’s @RajeevAlur and collaborators at @PennMedicine developed CAMEL, an AI model that can forecast dangerous cardiac rhythms before cardiac arrest occurs. By analyzing continuous ECG data, the system identifies subtle warning signs 10 to 15 minutes in advance, helping move cardiac care toward earlier prediction and intervention. @PennEngAI / @CIS_Penn
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Penn Engineering AI retweeted
Static math benchmarks saturate. We built one that doesn't. Announcing MathDuels, the first self-play math benchmark. Every frontier LLM writes problems for the others, and is graded on the ones written for it. As models improve, so does the benchmark.
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersApr 24
Innovation and policy leaders from the offices of @GovernorShapiro and @PADCEDnews visited Penn Engineering, touring @GRASPLab and the newly opened Artificial Intelligence-Driven RNA BioFoundry (@NSF AIRFoundry). Discussions with Penn Engineering leadership focused on how robotics and AI research can drive real-world impact across the Commonwealth.
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersMar 30
At the 25th Annual Isaac Asimov Memorial Debate, Penn Engineering’s Chris Callison-Burch joined a panel led by @neiltyson to examine AI’s growing impact, from science to society and beyond. youtube.com/watch?v=eYUYdpG4… Photo Credit: Daniel Kim/© AMNH
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersMar 27
"Two Penn Engineering faculty have been elected 2025 American Association for the Advancement of Science (@AAAS) Fellows. They are among nearly 500 researchers being honored for distinguished contributions to their fields. Cherie Kagan is recognized for her pioneering research on nanostructured materials and their use in advanced devices for electronics, photonics and sensing. George Pappas (@pappasg69) is recognized for his research on control systems, robotics, autonomous systems, formal methods and machine learning for safe and secure cyber-physical systems. Congratulations to Cherie and George on this esteemed honor. @PennEngAI / @ESEatPenn / @MSEatPenn / @MEAM_Penn / @CIS_Penn / @PennChemistry bit.ly/4bSOFfe
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersFeb 25
Empathy is essential in engineering. “You need to be able to understand other people's ideas and perspectives to bring out the best, most ingenious solutions,” says Tsu-Jae King Liu, President of the @theNAEng Episode 9 of "Innovation & Impact" is live. youtube.com/watch?v=BPTMHBii…
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersFeb 2
Penn Engineering’s new Master of Science in Engineering in Software Systems and Cybersecurity (MSE-SSC), offered both online and on campus, prepares engineers to build and defend the digital infrastructure that underpins modern life. Learn more: bit.ly/4asKCGM @PennCIS @PennEngAI
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Please join us tomorrow for the first ASSET Seminar of the Spring semester, presented by @ggn_dp_sngh!
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersJan 9
To mark the 10th anniversary of @NatureMicrobiol, Penn Engineering’s César de la Fuente (@delafuentelab) shares his vision for the future of microbiology, where machine intelligence accelerates discovery while human creativity leads the science. “I think the future of microbiology is going to be taking advantage of machine intelligence plus human ingenuity,” says de la Fuente. Rather than an AI-led scientific process, he emphasizes human creativity and leadership, adding, “I don’t envision the humans in the loop; I envision the machines in the loop.” nature.com/articles/s41564-0… @PennEngAI / @pennbioeng
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineersJan 6
A @nytimes article examines AI data centers’ heavy land and energy use and even the idea of orbiting them in space. With many perspectives to consider, @Lee_BenjaminC (@eseatpenn, @pennengai) points out that current chips and semiconductors are not built to handle space conditions. Read the full article today. nytimes.com/2026/01/01/techn…
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineers24 Dec 2025
Happy Holidays! Wishing you a joyous season powered by community and connection! ✍🏼: Illustrated by Jennifer Kim, Multimedia Designer
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineers19 Dec 2025
2025 was a year of transformative progress for Penn Engineering, from cancer-fighting compounds and water-harvesting materials to AI-driven antibiotics and faster computing. seas.upenn.edu/2025-year-in-…
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineers18 Dec 2025
Featured in @NatureBiotech, @pranamanam shares what drives his work at the intersection of computer science and bioengineering, and how generative AI and programmable biology can help design molecules to cure disease. @PennEngAI @pennbioeng @CIS_Penn go.nature.com/4p3CeSr
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Penn Engineering AI retweeted
Penn Engineering
@PennEngineers12 Dec 2025
Researchers from Penn Engineering, @StanfordEng, @CMUEngineering, @MITeng and SkyWater Technology built the first monolithic 3D chip produced in a U.S. commercial foundry. By stacking memory and compute layers with ultra-dense vertical wiring, the chip moves data faster and overcomes the limits of flat designs. Early tests show strong performance gains, with simulations pointing to 10–12× improvements on real AI workloads. A new path forward for advanced, U.S.-made AI hardware. @PennEngAI bit.ly/4aaSAVx
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Penn Engineering AI retweeted
✨✨Proud of my research group’s NeurIPS 2025 Spotlight paper on improving zero-shot performance of embodied AI agents using neurosymbolic representations! Come see us at the conference in San Diego, play with our live demo / model / dataset on HuggingFace, and check out our code on GitHub. Led by my amazing student Jiani Huang @jiani_huang_ai who is on the academic job market! Collaborators: - PhD students Neelay Velingker @NeelayV, Mayank Keoliya @KeoliyaMayank - undergrads Amish Sethi @sethi_amish who is applying to PhD programs, Matthew Kuo - former PhD student Ziyang Li @_ziyang_, now faculty at JHU CS @JohnsHopkins #neurosymbolic #embodiedAI #robotics #NeurIPS2025
Replying to @PennEngineers
@PennEngineers doctoral student @jiani_huang_ai (@cis_penn) presents ESCA at @NeurIPSConf 2025, a system that helps embodied AI agents better understand their surroundings by creating context-aware descriptions of a scene. Research advised by Professor Mayur Naik (@AI4Code).
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