About
kexinhuang.com
Github: https://github.com/kexinhuang12345
Github: https://github.com/kexinhuang12345
Activity
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Introducing La-Proteina, a generative AI model that creates complete atomistic protein structures together with their amino acid sequences, scalable…
Introducing La-Proteina, a generative AI model that creates complete atomistic protein structures together with their amino acid sequences, scalable…
Liked by Kexin Huang
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🧪 Designing a CRISPR screen take days—finding targets, controls, and creating protocols. Biomni curates target genes in minutes using advanced web…
🧪 Designing a CRISPR screen take days—finding targets, controls, and creating protocols. Biomni curates target genes in minutes using advanced web…
Liked by Kexin Huang
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Really excited to share that we’re in the Y Combinator summer batch! I’m even more excited to be teaming up with Philip Fradkin and Ruian Shi on…
Really excited to share that we’re in the Y Combinator summer batch! I’m even more excited to be teaming up with Philip Fradkin and Ruian Shi on…
Liked by Kexin Huang
Experience & Education
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GSK
View Kexin’s full experience
See their title, tenure and more.
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Publications
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Please see my website www.kexinhuang.com/research for up to date publications
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Courses
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Abstract Algebra
Math-UA 343 at NYU
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Analysis
Math-UA325 at NYU
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Basic Algorithm
CS-UA 310 at NYU
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Computer System Organization
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Computer Vision at NYU
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Convolutional Neural Network for Image Recognition
CS231N at Stanford
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Data Management and Analysis at NYU
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Data Structure at NYU
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Graduate Level, Basic Probability (Measure theory) at NYU
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Graduate-Level, Machine Learning for Health Care at NYU
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Graduate-Level, Optimization and Computational Linear Algebra at NYU
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Introduction to Machine Learning
Coursera
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Introduction to Machine Learning, CS-UA 473 at NYU
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Introduction to Reinforcement Learning/David Silver
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Linear Algebra at NYU
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Multi variable Calculus at NYU
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Natural Language Processing
CS-UA 480 at NYU
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Natural Language Processing with Deep Learning
CS224N at Stanford
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Numerical Analysis
Math-UA252 at NYU
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Operating System at NYU
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Ordinary Differential Equation at NYU
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Partial Differential Equation at NYU
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Theory of Probability
Math-UA 233 at NYU
Honors & Awards
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Student Goverment Assembly
NYU
700 dollars conference grant
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DURF Conference Grant
NYU
Won $900 conference grant
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Dean's Undergraduate Research Fund
New York University
Received 1000 dollars for individual undergraduate research "Text Style Transfer"
College of Arts and Science Parents Research Scholar -
NYU Winner
Accenture Innovation Challenge
Provide solution for Habitat for Humanity at Accenture Innovation Challenge.
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Best Overall Venture
NYU Social Entrepreneurship Program (CmC)
Distinguished from 50 teams, won the best overall venture with 3000 dollars funding for UNMUTED
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Dean’s Honors List
New York University
An honors roll of matriculated students who have achieved an average of 3.65 or higher
Test Scores
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GRE
Score: 335
Languages
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Chinese
Native or bilingual proficiency
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English
Native or bilingual proficiency
More activity by Kexin
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Happy to share that our work on POPPER — an AI agent for autonomous scientific hypothesis validation — has been accepted to #ICML2025! I’ll be…
Happy to share that our work on POPPER — an AI agent for autonomous scientific hypothesis validation — has been accepted to #ICML2025! I’ll be…
Shared by Kexin Huang
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The newly released 1-trillion-parameter Kimi K2 LLM takes the crown as the best available open-weight model. According to the first benchmarks, it…
The newly released 1-trillion-parameter Kimi K2 LLM takes the crown as the best available open-weight model. According to the first benchmarks, it…
Liked by Kexin Huang
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🚨 𝗡𝗲𝘄 𝗣𝗮𝗽𝗲𝗿 𝗔𝗹𝗲𝗿𝘁 — 𝗔𝗿𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗵𝗶𝗻𝗴𝘀? 📢 Excited to share that our latest work has…
🚨 𝗡𝗲𝘄 𝗣𝗮𝗽𝗲𝗿 𝗔𝗹𝗲𝗿𝘁 — 𝗔𝗿𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗵𝗶𝗻𝗴𝘀? 📢 Excited to share that our latest work has…
Liked by Kexin Huang
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Introducing 🔥Optimas🔥: The first unified framework to optimize compound AI systems composed of multiple components like trainable/API-based LLMs…
Introducing 🔥Optimas🔥: The first unified framework to optimize compound AI systems composed of multiple components like trainable/API-based LLMs…
Liked by Kexin Huang
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Machine Learning for Drug Discovery (MLDD) was happening on Monday, but you can still watch it at https://lnkd.in/gWNDAEum #Machinelearning #AI…
Machine Learning for Drug Discovery (MLDD) was happening on Monday, but you can still watch it at https://lnkd.in/gWNDAEum #Machinelearning #AI…
Liked by Kexin Huang
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I've moved to London to start a new chapter at Isomorphic Labs as a Senior Research Scientist. I've felt strongly that the task-agnostic wins in AI…
I've moved to London to start a new chapter at Isomorphic Labs as a Senior Research Scientist. I've felt strongly that the task-agnostic wins in AI…
Liked by Kexin Huang
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🚀 Excited to open-source our general-purpose biomedical AI agent Biomni. Biomni A1 (agent) + E1 (env) with 150 specialized tools, 59 databases…
🚀 Excited to open-source our general-purpose biomedical AI agent Biomni. Biomni A1 (agent) + E1 (env) with 150 specialized tools, 59 databases…
Liked by Kexin Huang
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🧬 Excited to open-source Biomni! With just a few lines of code, you can now automate biomedical research with AI agent! We are releasing Biomni A1…
🧬 Excited to open-source Biomni! With just a few lines of code, you can now automate biomedical research with AI agent! We are releasing Biomni A1…
Shared by Kexin Huang
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New from the Foundation Models for Biology Seminar Series, Kexin Huang from Stanford University presents Biomni, a general-purpose biomedical AI…
New from the Foundation Models for Biology Seminar Series, Kexin Huang from Stanford University presents Biomni, a general-purpose biomedical AI…
Liked by Kexin Huang
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📢 We’re excited to share that Modella AI has entered a multi-year partnership with AstraZeneca 🤝 to accelerate the use of 🧠 AI foundation models…
📢 We’re excited to share that Modella AI has entered a multi-year partnership with AstraZeneca 🤝 to accelerate the use of 🧠 AI foundation models…
Liked by Kexin Huang
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💊 90% of drugs fail trials—often from poor ADME/tox. AI models can accurately predict ADMET, but they aren’t widely accessible to…
💊 90% of drugs fail trials—often from poor ADME/tox. AI models can accurately predict ADMET, but they aren’t widely accessible to…
Liked by Kexin Huang
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We’re launching Decoding Science! AI is reshaping the scientific process and transforming every scientific discipline. We’ve started this new…
We’re launching Decoding Science! AI is reshaping the scientific process and transforming every scientific discipline. We’ve started this new…
Liked by Kexin Huang
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