Peilun Dai

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PhD Candidate in Computer Science at Boston University

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About

I am a CS Ph.D. Candidate in the Learning, Intelligence and Signal Processing (LISP) group in the Department of Computer Science at Boston University. My advisor is Prof. Peter Chin. I obtained my bachelor’s degree in Electrical & Electronic Engineering from Nanyang Technological University in Singapore and a master’s degree in Neuroscience from MIT where I worked in the Synthetic Neurobiology Group directed by Prof. Ed Boyden. I have research experience in computer vision, bioinformatics and neurobiology. [CV]

My current research interests include biologically plausible deep learning and affective computing.

I also enjoy teaching, reading, and making friends. You can reach me by email: peilun at bu.edu.

Publications

Yoon, Y. G., Wang, Z., Pak, N., Park, D., Dai, P., Kang, J. S., … & Boyden, E. S. (2020). Sparse decomposition light-field microscopy for high speed imaging of neuronal activity. Optica, 7(10), 1457-1468. [publisher page] [PDF]

Yoon, Y. G., Dai, P., Wohlwend, J., Chang, J. B., Marblestone, A. H., & Boyden, E. S. (2017). Feasibility of 3D reconstruction of neural morphology using expansion microscopy and barcode-guided agglomeration. Frontiers in computational neuroscience, 11, 97. [publisher page] [PDF]

Ma, K. T., Li, L., Dai, P., Lim, J. H., Shen, C., & Zhao, Q. (2017, September). Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision. In 2017 IEEE International Conference on Image Processing (ICIP) (pp. 3470-3474). IEEE. [publisher page] [PDF]

Mandal, B., Lim, R. Y., Dai, P., Sayed, M. R., Li, L., & Lim, J. H. (2016). Trends in machine and human face recognition. In Advances in Face Detection and Facial Image Analysis (pp. 145-187). Springer, Cham. [publisher page] [PDF]

Teaching

Boston University

CS 655 Graduate Introduction to Computer Networks, Fall 2020, Grader

CS 542 Machine Learning, Summer 2020, Teaching Fellow

CS 112 Introduction to Computer Science II, Spring 2020, Teaching Fellow

CS 591 C1 Computational Game Theory, Spring 2020, Grader

CS 112 Introduction to Computer Science II, Fall 2019 Teaching Fellow

CS 591 C1 Compressive Sensing and Sparse Recovery, Fall 2019 Grader

CS 542 Machine Learning, Spring 2019, Teaching Fellow and Grader

MIT

9.012 Cognitive Science, Fall 2017, Teaching Assistant

9.40 Introduction to Neural Computation, Spring 2017, Teaching Assistant