|
Update:
[2020/02/15] WaveletSEG v.8 releeased
[2019/01/15] WaveletSEG v.3 released with algorithm upgrade and ground truth datasets.
[2018/05/20] WaveletSEG v.1 released!
[2017/10/28] Invited talk in 2017 Global Technology and Industry Summit Forum
[2017/03/31] My daughter Eudora was born!
[2017/03/20] Automated workflow for quantifying RNA transcripts in individual cells paper published
[2016/07/06] My Plant Physiology journal paper was posted on Purdue News
[2016/06/10] New plant cell image quantification method and published and selected as cover article in Plant Physiology journal
[2020/02/15] WaveletSEG v.8 releeased
[2019/01/15] WaveletSEG v.3 released with algorithm upgrade and ground truth datasets.
[2018/05/20] WaveletSEG v.1 released!
[2017/10/28] Invited talk in 2017 Global Technology and Industry Summit Forum
[2017/03/31] My daughter Eudora was born!
[2017/03/20] Automated workflow for quantifying RNA transcripts in individual cells paper published
[2016/07/06] My Plant Physiology journal paper was posted on Purdue News
[2016/06/10] New plant cell image quantification method and published and selected as cover article in Plant Physiology journal
Future direction:
- Develop state of the art microscope imaging technique by incorporating deep learning methods such as super-resolution, semantic segmentation and 3D reconstruction.
- Understanding neural system mapping and functions by using latest imaging technique
- Develop novel neuroscience-inspired artificial intelligence techniques
Association:
Purdue Umulis Lab
The focus of our research is to investigate the regulation of signal transduction in development. There are three main focuses in our laboratory that can be found under the research tab. The first main topic is modeling, analysis, and discovery of Bone Morphogenetic Protein signaling networks in Drosophila stem cells maintenance and embryo development. The second is developing new methods for data/model integration in biological engineering. Lastly, systems analysis of BMP pattern formation in zebrafish.
|
Dosudo Deep learning group
I organized the silicon valley engineer Dosudo deep learning group and lead the paper reading meeting to discuss about the latest deep learning techniques every two weeks. We also interviewed many experienced professors and engineers to share deep learning research and works. Dosudo deep learning newsletter was published every two weeks to introduce latest AI techniques and research.
|
Cubix Health Technologies
Cubix Health Applications (Cubix) develop innovative software package capable of revitalizing the use of affordable chest X rays in lung cancer screening. Our software process X-rays obtained from multiple angles and reconstruct a 3D model of the patient's chest marked with identified lung nodules
|