CUHK AI+healthcare PhD/Mphil/RA/VS（可远程）招生 （导师4年博士期间30余篇文章）
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打扰各位了。我是李煜，是港中文CSE的Assistant professor，2020年年底入职。
主要研究方向是machine learning, healthcare and bioinformatics。 2021Fall有两个博士全奖招生名额。对我的研究方向感兴趣的同学，欢迎写邮件与我交流（建议附上简历与成绩单，中英文均可）：1point3acres.com。
学生背景要求：有比较强的计算背景，专业不限。生物及医学背景非必须，是plus。
更多关于我的信息和研究，欢迎大家参考我的个人主页：liyu95.com，以及最近的KAUST news: cemse.kaust.edu.sa。
除博士生外，亦长期招收RA和访问学生（可远程），如果您希望和我一起做科研发文章增加自己的履历的话，欢迎同我联系。祝各位申请顺利，学业顺利，生活愉快！
CS PhD@CUHK (AI, healthcare, bioinfor)
Dr. Yu Li is an incoming assistant professor (starting from the end of 2020) of the Department of Computer Science and Engineering (CSE) at The Chinese University of Hong Kong (CUHK). He has two opening Ph.D. positions for Fall 2021.
Yu obtained his Ph.D. ('20, CS), M.S. ('16, CS) from KAUST, and his B.S. ('15, biosciences) from USTC.
During his four-year Ph.D. study, he published more than 30 papers in the top bioinformatics and machine learning (ML) venues, including Nature Communications, PNAS, ICLR (oral), et al. In addition to that, he has around 10 papers in the publication pipeline, targeting on Nature, Nature Methods, Micrbobiomes, et al., by the end of the Ph.D. study.
For more about his background and story, please refer to his website: liyu95.com and the KAUST news: cemse.kaust.edu.sa
Regarding his research, he is working at the intersection between machine learning, healthcare, and bioinformatics, developing new machine learning methods to resolve the computational problems in biology and healthcare, especially the structured learning problems.
As a Ph.D. student, he had supervised several M.S. and intern students. All the supervised Chinese students have papers published or in preparation under his supervision: liyu95.com
As a supervisor in computer science, he has the following advantages:
1. He is very productive, familiar with the technical details of the recent papers. As a result, he can provide detailed instructions to the students. In addition to being a supervisor, who would provide support, he would also be a collaborator to the students, who will write the papers together with the students.
2. In addition to the CUHK computing facility, he can get access to a supercomputer with 6000 nodes and 380K cores, as well as a GPU cluster with 300 V100 cards. There is no limitation regarding the computational resources that the students can get access to.
3. He has built the collaboration network across the world, spanning from the US, Australia, Middle East, Mainland, to Hong Kong, including researchers at MIT, Stanford, GaTech, Purdue, KAUST, HKUST, CUHK, HKU, et al., as well as researchers from companies in the industry, including Google, Tencent, et al. Students would have plenty of opportunities to collaborate with the top-tier researchers from different places.
4. He has collaborations with both researchers working on computing and collaborators working on wet experiments. He can get access to the first-hand data, and the predictions from the developed methods can be potentially validated by wet experiments. Such works are doomed to fly high.
5. He changed his major from biosciences to CS. He knows clearly about the student's concerns. He will be supportive of the student's job hunting upon graduation.
Requirements: Students with a strong background in computing are invited to apply. Preferred majors are CS, statistics, mathematics, and biosciences. But major is not a big problem as long as the student has a strong learning ability with sufficient foundational computing background. Knowledge in medicine or biology is a plus but not required.
If you are interested in the positions or have any questions regarding the positions or related research, please feel free to drop your email at 1point3acres.com. In addition to the Ph.D. positions, Yu's group is also open to M.Phil., RAs and interns. Feel free to drop an email to ask for the opportunity. Yu is very open to any kind of collaborations to achieve a win-win situation.
补充内容 (2021-10-24 21:15 +8:00):
2022Fall也有若干博士全奖招生名额，欢迎感兴趣的同学联系申请：）
主要研究方向是machine learning, healthcare and bioinformatics。 2021Fall有两个博士全奖招生名额。对我的研究方向感兴趣的同学，欢迎写邮件与我交流（建议附上简历与成绩单，中英文均可）：1point3acres.com。
学生背景要求：有比较强的计算背景，专业不限。生物及医学背景非必须，是plus。
更多关于我的信息和研究，欢迎大家参考我的个人主页：liyu95.com，以及最近的KAUST news: cemse.kaust.edu.sa。
除博士生外，亦长期招收RA和访问学生（可远程），如果您希望和我一起做科研发文章增加自己的履历的话，欢迎同我联系。祝各位申请顺利，学业顺利，生活愉快！
CS PhD@CUHK (AI, healthcare, bioinfor)
Dr. Yu Li is an incoming assistant professor (starting from the end of 2020) of the Department of Computer Science and Engineering (CSE) at The Chinese University of Hong Kong (CUHK). He has two opening Ph.D. positions for Fall 2021.
Yu obtained his Ph.D. ('20, CS), M.S. ('16, CS) from KAUST, and his B.S. ('15, biosciences) from USTC.
During his four-year Ph.D. study, he published more than 30 papers in the top bioinformatics and machine learning (ML) venues, including Nature Communications, PNAS, ICLR (oral), et al. In addition to that, he has around 10 papers in the publication pipeline, targeting on Nature, Nature Methods, Micrbobiomes, et al., by the end of the Ph.D. study.
For more about his background and story, please refer to his website: liyu95.com and the KAUST news: cemse.kaust.edu.sa
Regarding his research, he is working at the intersection between machine learning, healthcare, and bioinformatics, developing new machine learning methods to resolve the computational problems in biology and healthcare, especially the structured learning problems.
As a Ph.D. student, he had supervised several M.S. and intern students. All the supervised Chinese students have papers published or in preparation under his supervision: liyu95.com
As a supervisor in computer science, he has the following advantages:
1. He is very productive, familiar with the technical details of the recent papers. As a result, he can provide detailed instructions to the students. In addition to being a supervisor, who would provide support, he would also be a collaborator to the students, who will write the papers together with the students.
2. In addition to the CUHK computing facility, he can get access to a supercomputer with 6000 nodes and 380K cores, as well as a GPU cluster with 300 V100 cards. There is no limitation regarding the computational resources that the students can get access to.
3. He has built the collaboration network across the world, spanning from the US, Australia, Middle East, Mainland, to Hong Kong, including researchers at MIT, Stanford, GaTech, Purdue, KAUST, HKUST, CUHK, HKU, et al., as well as researchers from companies in the industry, including Google, Tencent, et al. Students would have plenty of opportunities to collaborate with the top-tier researchers from different places.
4. He has collaborations with both researchers working on computing and collaborators working on wet experiments. He can get access to the first-hand data, and the predictions from the developed methods can be potentially validated by wet experiments. Such works are doomed to fly high.
5. He changed his major from biosciences to CS. He knows clearly about the student's concerns. He will be supportive of the student's job hunting upon graduation.
Requirements: Students with a strong background in computing are invited to apply. Preferred majors are CS, statistics, mathematics, and biosciences. But major is not a big problem as long as the student has a strong learning ability with sufficient foundational computing background. Knowledge in medicine or biology is a plus but not required.
If you are interested in the positions or have any questions regarding the positions or related research, please feel free to drop your email at 1point3acres.com. In addition to the Ph.D. positions, Yu's group is also open to M.Phil., RAs and interns. Feel free to drop an email to ask for the opportunity. Yu is very open to any kind of collaborations to achieve a win-win situation.
补充内容 (2021-10-24 21:15 +8:00):
2022Fall也有若干博士全奖招生名额，欢迎感兴趣的同学联系申请：）
