Research Summary

I am primarily interested in fundamental research questions in statistical machine learning. My goal is to invent new statistical models, inference methods and computational algorithms.

Statistical machine learning is a vast field that has rapidly changing the landscape of Artificial Intelligence (AI). My collaborations and I have worked on many subareas in machine learning. Our past (and ongoing) research topics include: (1) unsupervised learning including probabilistic latent variable models and dimensionality reduction; (2) supervised learning especially under data paucity (or learning with small data): multi-task learning, transfer learning, zero-shot learning and domain adaptation; (3) representation learning for automatically inferring useful features from data: learning kernels and metrics, deep learning architectures, etc; (4) large-scale machine learning systems and algorithms: distributed optimization, large-scale kernel methods, etc.

My research agenda is often inspired by many AI problems: speech and language processing, computer vision, robotics, and others.

Most recently, I have branched into applying machine learning (and other AI techniques) to life and medical sciences. Many unique opportunities and challenges arise in those domains. For example, I am very interested in both theoretical and applied topics in learning for decision making (such as clinical trial, personalized and precision treatment, etc).

Interests

  • Statistical machine learning
  • Artificial intelligence
  • Bioinformatics and computational biology
  • Personalized and precision medicine

Current members in my research group

Chao-Kai Chiang

Postdoctoral fellow

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Soravit (Beer) Changpinyo

PhD Student

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Weilun (Harry) Chao

PhD Student

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Ke Zhang

PhD Student

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Zhiyun Lu

PhD student

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Caitlyn Clabaugh

PhD student (co-advised with Prof. Maja Mataric)

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I am very foruntate to have been working with such a group of very talented researchers and students. On a daily basis, I am constantly amazed by how much you have been inspiring me.

Former members in my research group

Aurelien Bellet

Postdoctoral fellow (tenured researcher at INRIA)

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Boqing Gong

PhD Student (now tenure-track Assistant Professor at UCF)

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Meihong Wang

PhD Student (now Engineering Manager at Facebook)

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Alireza Bagheri Garakani

PhD Student (relocated to Seattle)

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Kuan Liu

PhD Student (transferred to another lab)

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Yuan Shi

PhD student (transferred to another lab)

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Erica Greener

M.Sc. student (developer at NY Times)

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With your great efforts, we have achieved a lot. Thank you and best wishes for your future journey!

Past visitors

Justin Solomon

PhD student from Stanford (now a professor at MIT)

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Zi Wang

Tsinghua University undergrauate internal (now a PhD student at MIT)

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Junqi Ji

Tsinghua University PhD Student

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Jan Kremer

PhD Student from U of Copenhagen

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Despite your short stay, you have broadened significantly the horizon that I can see. Thank you and I hope seeing you soon again!