21,000 SGD scholarshipGraduated with Distinction
RESEARCHIS FORFUN
XEPLOSEVIGROWTHBIOIMAGE DATA
“You have to go to grad schoolin cell biology to knowwhat a Golgi looks like”
What IF there’s aPATTERNandNO ONE knowswhat to call it?THEN?
Learning Invariant Features of Tumor Signatures, ISBI, 2012
Learning Invariant Features of Tumor Signatures, ISBI, 2012
Building high-level features using large scale unsupervised learning, ICML, 2012
Huth et al, BMC Cell Biology 2012, 11:24
Hongkai, et al , IEEE Trans on circuits and systems for video technology, July, 2012
DATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATA
“Mathematical formulation of a modelforces it to be self-consistentalthough SELF-CONSISTENCY isNOT necessarily truth,SELF-...
The edges of UNDERSTANDINGBuildingSIMPLE modelsof COMPLEX processes
What took humanity THOUSANDS OF YEARS to accomplishwas completed on 32-cores in essentially NO TIME at allDistilling free-...
If we have reached the limits of human scientific understanding,and should soon work with robot scientists?The automation ...
Bioimage, PPT for meeting with Paul Matsudaira
Bioimage, PPT for meeting with Paul Matsudaira
Bioimage, PPT for meeting with Paul Matsudaira
Bioimage, PPT for meeting with Paul Matsudaira
Bioimage, PPT for meeting with Paul Matsudaira
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Bioimage, PPT for meeting with Paul Matsudaira

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Bioimage, PPT for meeting with Paul Matsudaira

  1. 1. 21,000 SGD scholarshipGraduated with Distinction
  2. 2. RESEARCHIS FORFUN
  3. 3. XEPLOSEVIGROWTHBIOIMAGE DATA
  4. 4. “You have to go to grad schoolin cell biology to knowwhat a Golgi looks like”
  5. 5. What IF there’s aPATTERNandNO ONE knowswhat to call it?THEN?
  6. 6. Learning Invariant Features of Tumor Signatures, ISBI, 2012
  7. 7. Learning Invariant Features of Tumor Signatures, ISBI, 2012
  8. 8. Building high-level features using large scale unsupervised learning, ICML, 2012
  9. 9. Huth et al, BMC Cell Biology 2012, 11:24
  10. 10. Hongkai, et al , IEEE Trans on circuits and systems for video technology, July, 2012
  11. 11. DATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATADATA DATA
  12. 12. “Mathematical formulation of a modelforces it to be self-consistentalthough SELF-CONSISTENCY isNOT necessarily truth,SELF-INCONSISTENCY is certainly falsehood”Theoretical Neuroscience Rising, Neuron, 2008
  13. 13. The edges of UNDERSTANDINGBuildingSIMPLE modelsof COMPLEX processes
  14. 14. What took humanity THOUSANDS OF YEARS to accomplishwas completed on 32-cores in essentially NO TIME at allDistilling free-form natural laws from experimental data, 2009, Science
  15. 15. If we have reached the limits of human scientific understanding,and should soon work with robot scientists?The automation of science, 2009, Science

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