Dr David Tsai
Senior Lecturer

Dr David Tsai

  • PhD (Biomedical Engineering), 2012, University of New South Wales
  • MBiomedE, 2007, University of New South Wales
  • BE (Software, Honours 1st Class), 2007 University of New South Wales
Engineering
Grad Sch: Biomedical Eng

Dr David Tsai is a Senior Lecturer at the Graduate School of Biomedical Engineering and at the School of Electrical Engineering & Telecommunications. His research focuses on developing neurotechnologies for interacting with the brain at scale, with high spatiotemporal resolution and with reduced invasiveness.

Visit his lab's website for more information: https://biomicrosyslab.org.

Phone
+61 2 9065 8230
Location
Room 1003, Level 1, Bioscience South (E26)
  • Journal articles | 2020
    Periyanagounder D; Wei TC; Li TY; Lin CH; Gonçalves TP; Fu HC; Tsai DS; Ke JJ; Kuo HW; Huang KW; Lu N; Fang X; He JH, 2020, 'Fast-Response, Highly Air-Stable, and Water-Resistant Organic Photodetectors Based on a Single-Crystal Pt Complex', Advanced Materials, vol. 32, http://dx.doi.org/10.1002/adma.201904634
    Journal articles | 2017
    Jayant K; Hirtz JJ; Plante IJL; Tsai DM; De Boer WDAM; Semonche A; Peterka DS; Owen JS; Sahin O; Shepard KL; Yuste R, 2017, 'Targeted intracellular voltage recordings from dendritic spines using quantum-dot-coated nanopipettes', Nature Nanotechnology, vol. 12, pp. 335 - 342, http://dx.doi.org/10.1038/nnano.2016.268
  • Conference Papers | 2015
    Tsai D; John E; Chari T; Yuste R; Shepard K, 2015, 'High–channel–count, high–density microelectrode array for closed–loop investigation of neuronal networks,', in Proceedings of the 37th Annual International Conference of the IEEE EMBS, Milan, Italy, pp. 7510 - 7513, presented at Annual International Conference of the IEEE EMBS, Milan, Italy, 25 August 2015 - 29 August 2015, http://dx.doi.org/10.1109/EMBC.2015.7320129

Past and present fundings from the following sources are gratefully acknowledged:

  • Australian Research Data Commons; ARDC (co-CI)
  • National Health and Medical Research Council; NHMRC (sole-CI and co-CI)
  • Kavli Foundation (sole-CI)
  • UNSW (co-CI)

  • Microelectronic (CMOS) brain recording and stimulation tools.
  • Circuits and systems for high throughput brain-machine interfacing.
  • Micro- and nano-fabricated neural sensors.
  • Computational tools and analytics for neural signals.
  • Neurobiology of electrical stimulation.
  • Vision prosthesis.