Quick tutorial on how to test the online artificial intelligence based coronavirus2019 CT scan detection tool (released Feb 26, 2020):

1. Hit English to provide translation of website:

http://121.40.75.149/znyx-ncov/index#/app/online_try

2. Download ct scan images from covid19 research papers, like this one (take note whether the downloaded image represents covid19 positive cases, as labeled on website):

http://images.rsna.org/index.html…

3. Crop the image in paint, i.e. remove the black sides to the left and right of the image, leaving only picture of lungs in center. (Maybe I'll write up a simple Ui to do this cropping automatically)

4. Load ct scan images in website. (Up to 9 images)

5. Wait a few seconds (On 50mpbs internet connection, may be more waiting time on slower connections)

Results: Look for red boxes in resulting image on right hand side.

6. Optionally, you can also load the same ct images in another ai based pneumonia detection tool I prepared (Feb 9, 2020): https://github.com/JordanMicahBennett/SMART-CT-SCAN_BASED-COVID19_VIRUS_DETECTOR

It is advised that governments subsidize Ct scan price if possible, and advise scan personnel in contact with potential covid19 patients, be properly protected. Notably, China has performed thousands of scans. The control of this virus could reasonably save economy far more than cost of ct scan subsidy in the long run (i.e. help prevent mass shutdown of businesses/schools etc).

Project:

https://github.com/JordanMicahBennett/SMART-CT-SCAN_BASED-COVID19_VIRUS_DETECTOR

Complex Systems and Data Science methods to study behavioural patterns in audiovisual contents consumption
https://euraxess.ec.europa.eu/jobs/499679

Introduction to Computation & Data Sciecne.

The hands-on Python implementation as soon as a topic is explained explicitly is the thing that attracted me. I found this course to be so intuitive as well.

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/

Applications Open for “Advancing Cancer Biology at the Frontiers of Machine Learning” Innovation Lab
https://insidehpc.com/2020/03/applications-open-for-advancing-cancer-biology-at-the-frontiers-of-machine-learning-innovation-lab/

Official information of Coronavirus disease 2019 (COVID-19) in South Korea is available in Kaggle
https://www.kaggle.com/kimjihoo/coronavirusdataset

Image2StyleGAN++: How to Edit the Embedded Images?

https://arxiv.org/abs/1911.11544v1

Postdoc position in ML/stats at the University of Chicago

Applications are invited for a postdoctoral researcher working under the supervision of Prof. Bryon Aragam in statistics, machine learning, and/or optimization within the Econometrics and Statistics group at the Booth School of Business of the University of Chicago. Potential candidates should have a background in statistics and machine learning, for example nonconvex optimization, nonparametric statistics, and/or learning theory. Applications of interest include causal inference, representation learning, personalization, and graphical models, but may also depend on the candidate’s individual research interests. There will be an emphasis on theoretical/mathematical problems as well as computational/applied work, with a particular focus on problems at the intersection.

The Econometrics and Statistics group at the University of Chicago is diverse and rapidly growing, with 12 full-time faculty working in diverse areas such as statistical machine learning, causal inference, Bayesian statistics, financial econometrics, and forecasting.

Qualifications
The candidate should have a recent Ph.D. degree (or all-but-dissertation) in statistics, computer science, mathematics, or a related area, and should be proficient in programming in Python or R. We welcome applications from candidates with diverse and/or nontraditional backgrounds.

To Apply
Interested candidates should email bryon@chicagobooth.edu to indicate their interest in this position.

Required Documents
1) Resume/CV
2) Cover letter, including brief denoscription of research interests
3) Graduate trannoscripts
4) At least one academic reference

Application link: https://uchicago.wd5.myworkdayjobs.com/en-US/External/job/Hyde-Park-Campus/Principal-Researcher_JR07406

Reduce model size to train/test faster.
However, you should actually increase model size to speed up training and inference for transformers

Speeding Up Transformer Training and Inference By Increasing Model Size
https://bair.berkeley.edu/blog/2020/03/05/compress/
paper https://arxiv.org/pdf/2002.11794.pdf

How a research scientist built Kornia: an open source differentiable library for PyTorch
https://medium.com/pytorch/how-a-research-scientist-built-kornia-an-open-source-differentiable-library-for-pytorch-16e2aa758bc8

Diet modulates brain network stability, a biomarker for brain aging, in young adults
https://www.pnas.org/content/early/2020/03/02/1913042117.long