ChungYuen Khew (Ethan)

PhD student in Bioinformatics @ukm_my

[Amina Yonis, PhD @DrAminaYonis]

My examiners passed my PhD thesis with ZERO corrections. One of their comments was that 'it was extremely well written'.

How? By maintaining academic tone and excellent command of the English language.

Here’s how to get high-quality writing with Paperpal, an AI-powered app:

[Cell @CellCellPress]

For an overview on the applications of #MachineLearning across the clinical oncology workflow, go over https://t.co/gud1ojFmaU @james_y_zou @KyleWSwanson @ericwu93 Angela Zhang (4/5)

[Kay 🦌 @TheProductiveR3]

Publishing in top journals is hard.

In the 4 years since graduating, I’ve published in:

• Nature
• Current Biology
• PNAS

Here’s the single biggest lesson that helped me to do that

(+ a workflow for implementing it)

#AcademicTwitter #AcademicChatter

[ChungYuen Khew (Ethan) @cykhew_ethan]

5/ Thanks to our home institution and funders @ukm_my @fst_ukm @INBIOSIS @MOHEOfficial

[ChungYuen Khew (Ethan) @cykhew_ethan]

Hey guys, our review paper "Progress and challenges for the application of machine learning for neglected tropical diseases" is finally online and ready for reading! @F1000Research (un-🧵)

https://t.co/RZetagyEKt

[ChungYuen Khew (Ethan) @cykhew_ethan]

4/ Big thanks to my amazing supervisors @Norfarhan_MA and @pandaisikit for encouraging and supporting me through the process of preparing my first PhD/first-author paper! 🙌🏻

[Suhail Kakar @SuhailKakar]

Learn For Free:

Web3 → https://t.co/UxVVFuUb9i
JavaScript → https://t.co/nydJfWnZcS
Git → https://t.co/1mlQv40UeV
Python → https://t.co/zWPdb5XsYA
Solidity → https://t.co/W1e8XkARtB
SQL → https://t.co/cGywXFISMf
CSS → https://t.co/4qfSWaAGzN

More 🧵↓

[Jean de Nyandwi @Jeande_d]

Intro to Machine - University of Waterloo

A really nice machine learning introductory course that covers a number of topics from classical learning algorithms to modern deep learning algorithms. A good start to 2023 for people looking for something new!

https://t.co/nsQ48BFiin

[Akshay 🚀 @akshay_pachaar]

I have been solving problems using ML for 6 years now. ⏳

Here are the Books that have helped me during this journey! 📚

A Thread 🧵👇

[New Scientist @newscientist]

Mosquitoes that are extremely resistant to insecticides have been discovered in Cambodia and Vietnam, raising concerns about the implications for controlling yellow fever, dengue and Zika https://t.co/FYICCqYf8C

[Jean de Nyandwi @Jeande_d]

Applied Machine Learning - Cornell CS5785

"Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos.

Videos: https://t.co/QwT5hqYSQc
Code: https://t.co/RvTTsRAlhU

[Julia MacDonald @julia_m_mac]

At McKinsey, we charged $400k+ per presentation.

Here’s the simple 7-step framework we used (steal it for free)🧵:

[ChungYuen Khew (Ethan) @cykhew_ethan]

(4/4) Many thanks to the funding sources @fst_ukm @crimukm @ukm_my

[ChungYuen Khew (Ethan) @cykhew_ethan]

(1/4) Happy to share my very first preprint in collaboration with @Norfarhan_MA and @pandaisikit .
We reviewed the advances in Machine Learning (ML) for surveying, managing, and treating neglected tropical diseases (NTDs).https://t.co/yZGNPDiUQz

[ChungYuen Khew (Ethan) @cykhew_ethan]

(3/4) We gathered up-to-date innovative breakthroughs of ML tools across multiple fields that can be applied to help eradicate and eliminate the global burden of NTDs. This motivates me to invest time in ML fields.

[cs.LG Papers @arxiv_cs_LG]

Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases. Chung Yuen Khew, Rahmad Akbar, and Norfarhan Mohd. Assaad https://t.co/9zcc1JjWmU