I finished the novel: The Ministry for the Future. I might still feel like I would recommend the book to other climate-minded people, but probably only the first 2/3 of the book. Here is why.

As a technically oriented climate person, the chapters that I'm mostly interested about the …

I was cleaning my house and replaced some of the old LED bulbs with the new ones we purchased, and was reminiscing about my time in that industry back in 2012-2015. One thing led to another, and by the end of the night, I wrote a tweet thread about LED chips, which turned out to be... surprisingly popular?

Finally caught up this weekend the three long form articles from the series by ProPublica and NYT Magazine that look into global climate migration. Great, sobering read...

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If you live in US west coast, you have undoubtedly came across the dystopian footage of the smoke-induced orange sky. People have compare it to "nuclear winter". Well, what we're experiencing is actually 20x worse.

I came across this article through my network, Nano-diamond self-charging batteries could disrupt energy as we know it, which included some eye-opening claims:

California company NDB says its nano-diamond batteries will absolutely upend the energy equation, acting like tiny nuclear generators. They will blow any energy density comparison out of …

This is my personal highlights from reading "COVID-19 is awful. Climate change could be worse.", which was published on Gates Notes. This article offers a lot of interesting corollaries between COVID-19 and climate change, and offers some sobering statistics.

Over the past few years, I have had the chance to mentor aspiring data scientists in their job search. In that process, I have also had opportunities to reflect on my own job search process. I realized that I've been conducting my own job search with a "sniper rifle" approach. Here's what that may look like, and why it may be extra important in the lean years.

The machine learning breakthroughs for the past 10 years has been primarily focused on the bits world, and more and more industries are leveraging machine learning for their competitive advantage. On the other hand, the climate change issue is, inherently, a challenge in the atomic world. Therefore, if machine learning were to make an impact to climate change, it would have to render effects in the physical world. Having attended the ICLR Workshop on "Tackling Climate Change with Machine Learning" for the past five days, I want to organize my thoughts in this post on applying machine learning to the issue of climate change.

Notes from day 5 (Cross-cutting Methods Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-30.

Notes from day 4 (Climate Science and Adaptation Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-29.