Top 100 alternative sites to jialinding.github.io
Dan Fu - Stanford University
2nd-year CS PhD Candidate at Stanford. Systems for machine learning, vision, and graphics.
Author: Trenton Chang; Daniel Y Fu; Sharon Yixuan Li; Christopher Ré
Matin Kheirkhahan
PhD in CS | Software Engineer | Machine Learning Researcher
Jingxi Xu 许靖西
Jingxi Xu. I am a PhD Student of Computer Science at Columbia University, co-advised by Matei Ciocarlie and Shuran Song. My research focuses on machine learning and robotics.
Hugo Sadok
Hugo Sadok is a third-year PhD student in Computer Science at CMU advised by Prof. Justine Sherry. His research interests are broadly in computer networks and computer systems.
Rujun (RJ) Han
I am a final-year computer science Ph.D. candidate at University of Southern California. I work on natural language processing and applied machine learning, advised by Prof. Nanyun Peng (Plus Lab) and Prof. Aram Galstyan at the Information Sciences Institute. I am broadly interested in a variety of machine learning and...
Author: Rujun Han
Gaurav Mahajan
PhD Student at UCSD theory group. Pursuing theoretical research in learning advised by Sanjoy Dasgupta and Shachar Lovett.
Andreas Holm Nielsen | PhD Student in Machine Learning at Aarhus University. My research area involves Machine Learning applied to the Atmos
PhD Student in Machine Learning at Aarhus University. My research area involves Machine Learning applied to the Atmospheric Sciences such as Weather Forecasting using Geostationary Satellite Images.
Author: Andreas Holm Nielsen
Damla Senol Cali
Damla Senol Cali is a PhD candidate at Carnegie Mellon University, advised by Prof. Onur Mutlu and Prof. Saugata Ghose. Her research focuses on hardware/software co-design for accelerating bioinformatics applications and genome sequence analysis.
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FutureLab Artificial Intelligence IBaI_2
The institute conducts basic and applied research in computer vision, data mining, machine learning, and for image databases.
Author: Prof Petra Perner
Homepage Prof. Petra Perner
The institute conducts basic and applied research in computer vision, data mining, machine learning, and for image databases.
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Anish Athalye
I am a PhD student at MIT in the PDOS group. I'm interested in formal verification, systems, security, and machine learning.
tginart.ai
About Me Greetings, fellow denizen of the interwebs! My name is Antonio (you can call me Tony). I am a final-year PhD candidate at Stanford University. I am fortunate to be advised by Prof. James Zou in the Stanford Laboratory for Machine Learning, Genomics, and Health. I am gratefully supported
Michel Oleynik – Healthcare IT Researcher
I'm Michel Oleynik, a PhD researcher focused on healthcare. I'm interested in machine learning, natural language processing, and information retrieval.
Author: Michel Oleynik
Software Development, Computer Vision and Machine Learning
Software Development, Computer Vision and Machine Learning 14+ years of scienific and applied research 20+ years of software development.
Xiang Wang's Homepage
Xiang ****, Research Fellow in National University of Singapore. Recommender systems, information retrieval, applied machine learning.
Jiawei Chen's Homepage
Jiawei Chen, Research fellow in University of Science and Technology. Recommender systems, information retrieval, applied machine learning.
Alex **** - Personal Site
I am a PhD student at New York University studying computer science, focusing on machine learning for natural language. I am jointly advised by Professors [Sam Bowman](https://www.nyu.edu/projects/bowman/) and [Kyunghyun Cho](http://www.kyunghyuncho.me/), and am part of the [Machine Learning for Language](https://wp.nyu.edu/ml2/) group at NYU. I graduated from Harvard University with a bachelor's...
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Home Page - LaussenLabs
Multidisciplinary research lab focusing on systems physiology, data science, and machine learning in a pediatric critical care environment.
About | Sankha Narayan Guria
Hi! I’m Sankha. I am a Ph.D. student in Computer Science at the University of Maryland, advised by Prof. Jeff Foster and Prof. David Van Horn. I work with the folks at the PLUM group. I am interested in programming languages design, program analysis and synthesis. My research is focused...
Author: Sankha Narayan Guria
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Max Bartolo
I'm a PhD student at the UCL Machine Reading group under the supervision of Pontus Stenetorp and Sebastian Riedel. My current research focuses on natural language processing, with particular interest in question answering and machine reasoning.
Author: Max Bartolo; Tristan Thrush; Robin Jia; Sebastian Riedel; Pontus Stenetorp; Douwe Kiela
Matej Balog
Personal webpage of Matej Balog, a PhD student doing Machine Learning research at the University of Cambridge and at the Max Planck Institute for Intelligent Systems, Tübingen.
Author: Matej Balog
About Me - Marcela Melara, PhD Student, CS Dept, Princeton University
I'm a Research Scientist in the Security and Privacy Research group at Intel Labs. My research focuses on OS and memory security. Previously, I received my PhD in Computer Science from Princeton University in September 2019, where I worked with Mike Freedman in the S* Network Systems Group. I received …
Author: Marcela Melara
Home - PG's Thoughts
Hi, I'm Pin Gao Currently, I'm a Ph.D student in MadSys Group@Tsinghua University. I'm currently working on system supports for large scale graph processing and machine learning applications. My research interests include parallel and distributed computing systems and storage techniques. My research advisors are Prof ...
Jannik Kossen 🤖
Hi! 👋 Thanks for stopping by! I am a 👨🎓 PhD student in the Oxford Applied and Theoretical Machine Learning Group supervised by Yarin **** and Tom Rainforth. I am working on (mostly Bayesian) Deep Learning. More specifically, I am currently looking into ...
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Nikita Nangia
Hi there! I'm a third-year PhD student at New York University's Center for Data Science (CDS) where I am advised by [Sam Bowman](https://www.nyu.edu/projects/bowman/). My research is in on machine learning and natural language processing, with a focus on crowdsourcing high-quality datasets. You can reach me at . In 2018, I...
Author: Nikita Nangia
Rishabh Jain
Computer Science MS student at Georgia Tech, advised by Prof. Dhruv Batra. He works at the intersection of Machine Learning & Software Engineering. He also leads an open source organization - CloudCV to build tools for reproducible AI research.
Author: Rishabh Jain
Homepage - Aniko K.
Machine Learning Engineer Web Developer & UI/UX Designer PhD Student Educator Hello,I amAniko Machine Learning I work with big data in order to build algorithms, derive regularities, and develop complex systems. In August 2020, I joined HTEC Group as a Machine Learning Engineer where I am working on a range of deep learning problems in […]
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Niffler | Product Analytics For Ambitious Tech Projects
Based on many years of experience, our research team focuses on creating Machine Learning tech that solve the key challenges making products successful.
Arithmatrix - Artificial Intelligence Made Simple
Arithmatrix is a complete, cohesive and established group of AI focused software executives and developers with an impressive track record of success in applying AI and Machine Learning to solve incredibly complex business problems.
Healthy ML Lab - Machine Learning for Health (ML4H)
The Machine Learning for Health group targets "Healthy ML", focusing on creating applying machine learning to understand and improve health. We believe that health is important, and improvements in health improve lives. However, we still don't fundamentally understand what it…Read more →
Nels Numan
I am a PhD student at the VECG group at UCL, where I do research on collaborative mixed reality. Currently, I have a particular interest in the fields of extended reality (XR), machine learning, computer vision, and human-centered computing. I have previously worked at IBM, Microsoft, and TNO Research.
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Info, Actu et Événements France et International
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Haoze Wu's Homepage - Stanford Computer Science
Welcome! I am a 4th-year Computer Science PhD student at Stanford University advised by Clark Barrett. I am interested in formal verification and machine learning. I work on a formal analyzer of deep neural network called Marabou. I did my undergraduate at Davidson College, where I majored in Mathematics and...
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Makerere - AI-LAB
AI Research applied to African problems An AI & Data Science Research Group based at Makerere University, Uganda ABOUT MAKERERE AI LAB The AI and data science research group at Makerere University specialises in the application of artificial intelligence and data science -including, for example, methods from machine learning, computer vision and predictive analytics-to problems …
Karl J. Obermeyer
Applied Mathematician and Software Engineer with expertise in mathematical modeling, simulations, motion planning, computational geometry, vehicle routing, control systems, tracking, data fusion, signal processing, machine learning, optimization and operations research.
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Intractus Research LLC, Sentient HW/SW Solutions, home page
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Sanha Cheong
This is Sanha's personal & professional website. He is a Physics PhD student at Stanford University with research interests in particle physics, cosmology, and the applications of machine learning to physics research. He works on a high-energy particle experiment called 'ATLAS' and is a member of the ATLAS Group at Elementary Particle Physics (EPP) division of SLAC National Accelerator Laboratory.
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Home - Rishabh Singh
Welcome to my Home Online Greetings! I’m a pre-final year Interdisciplinary EE-CS Integrated Masters student at IIT Kharagpur. I am also an aspiring Robotics Researcher. Resume View All Projects Research Intern – Intel Intelligent Systems Lab. Team Lead – SLAM – Autonomous Ground Vehicle Research Group. Founder – Yantrakaar Technologies. Founder – Advanced Coordination Robotics. … Home Read More »
Author: Rishabh Singh
Home | Sam Boysel
About I am a PhD student in the Department of Economics at the University of Southern California. My current research interests are in applied microeconomics and econometrics, including behavior in open collaboration ecosystems, network structures, and applications of machine learning in economics. Current CV: [PDF] Education PhD Economics - University of Southern California (expected May 2022) MS Economics - Tufts University (2016) BA Economics **** laude - University of California Los Angeles (2013) Contact boysel@usc.
Ma'ayan Laboratory - Computational Systems Biology - Icahn School of Medicine at Mount Sinai
Computational and Mathematical Methods to Study the Complexity of Regulatory Networks in Mammalian Cells The Ma'ayan Laboratory applies machine learning and other statistical mining techniques to study how intracellular regulatory systems function as networks to control cellular processes such as differentiation, dedifferentiation, apoptosis and proliferation. Our research team develops software systems to […]
AlgoTraders
AlgoTraders is a research group based in Beirut and London, focused on the development and the execution of systematic quantitative trading strategies. Our team is composed of highly qualified developers and scientists with advanced degrees in Statistics, Computer Science, Economics, Financial Engineering, Machine Learning and Big Data.
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Home | COLA-Lab@Exeter
Welcome to COLA Laboratory Computational Optimization for Learning and Adaptive Systems (COLA) laboratory is working in computational/artificial intelligence, multi-objective optimization and decision-making, operational research, machine learning and statistical modeling of complex systems. Applications focus on search-based software engineering, energy, biological science and medicine. We are constantly looking for talented and passionate people to join our lab. Please refer to vacancies for potential opportunities. Recent News (Year 2021) Aug TEST CODE TO SEE IF UPDATE WORKING
IDEAS Laboratory
The IDEAS lab (Intelligent Dependability Engineering for Adaptive Software laboratory) consists of a group of computer scientists based at Loughborough, UK. The group's main research topic has been on the intersection between Artificial/Computational Intelligence (e.g., Natural Computation and Machine Learning) and Software Engineering, particularly related to fields such as Self-Adaptive Systems, Search-Based Software Engineering, Data-Driven Software Engineering and Intelligent Performance Engineering. The group is currently recruiting highly-motivated and excellent Ph.
Luis Pedro Coelho - Luis Pedro Coelho
Luis Pedro Coelho is the leader (PI) of the Big Data Biology Lab at Fudan University. Previously, he was a postdoctoral researcher in Peer Bork’s group at the European Molecular Biology Laboratory (EMBL) studying microbial communities in the ocean and inside the human gut. Luis has also developed scientific open source software such as the mahotas computer vision library and co-wrote the book ‘Building Machine Learning Systems With Python’
Welcome to the Tiny Machine Learning Open Education Initiative (TinyMLedu) - TinyMLedu
We are an international group of academics and industry professionals working to improve global access to educational materials for the cutting-edge field of TinyML. TinyML brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of embedded systems. Successful deployment in this field requires knowledge of applications, algorithms, hardware, and software. TinyMLedu is hosted by the Harvard John A. Paulson School of Engineering and Applied Sciences in collaboration with the tinyML Foundation.
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Shayan Shams
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Tu Bui | Centre for Vision, Speech and Signal Processing CVSSP | University of Surrey
I am a Research Fellow at the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey.
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Jérémy Barbay's webpage
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Chao Peng
PhD Candidate in Informatics
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Zain Zhenyuan Ruan | zainruan [at] csail [dot] mit [dot] edu Office 32-G978B, 32 Vassar Street, Cambridge, MA 02139
zainruan [at] csail [dot] mit [dot] edu Office 32-G978B, 32 Vassar Street, Cambridge, MA 02139
Lequan Yu Homepage
Lequan Yu is an Assistant Professor at HKU.
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Xin ****
Xin Wang's Homepage
Curriculum Vitae | schifferl.io
Hi! I am Lucas Schiffer, a public health alchemist of technology and biology. Using my training in bioinformatics, biostatistics, and epidemiology, along with data science tools like R, I research human health with a particular interest in the microbiome.
Author: Lucas Schiffer
Andrés Monroy-Hernández
Principal Research Scientist at Snap Inc., and affiliate professor at the University of Washington. Designs and studies social computing systems, crowdsourcing, online communities, and civic tech.
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Dr. Pablo Rivas
Author: Pablo Rivas
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Mokhtar Tabari
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Victor Van der Meersch
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Yi-Ju Tseng @ NCU
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Welcome to Nick Harutyunyan's personal website. Nick is an open source researcher and project manager interested in software engineering and information systems.
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Philipp Tempel
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Eric Marcon
Page personnelle d'Eric Marcon
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Marilu Duque Portfolio
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