This is dedicated to the Zapponians who made my summer journey absolutely incredible and my future self.

I’ve been interning remotely at Zappos working on launching a new line of business. I’m beyond grateful to have been given the opportunity to work on addressing the demand for sustainable fashion.

I’ve learned so much more in the past few weeks than I envisioned for my summer. I wanted to share my learnings really internalize them so my future self can apply these.

Key Takeaway #1: Embrace Uncertainty

During the first few weeks of the internship, my partner in crime, Andy Zhu who works with me on our project was faced with uncertainty.

We ran into roadblocks along the way as we tried to…

Being complacent is dangerous. Be anti-complacent.

Happiness is highly correlated with goals achieved. In other words, the goals you set dictates your happiness.

That means you are happy when you reach your goal, but that happiness also comes with its own dangers — it makes you more complacent.

Winning, achievements, goal checkers are not things that will lead to eventual growth — they lead to short-term growth. Do you ever find yourself slacking off after you take off — either you lost that pound or achieved the yearly revenue goal?

You don’t want to be falling back to the comfort rabbit hole after things start to…

If you live in North America — you know how bad snow days can get…

I remember it was snowing, roads were jammed, things were moving slow and I was sitting in the subway, listening to a podcast likely from The Knowledge Project while thinking about the impact in the world I wish to create in 10 years' time.

I then walked into CDL’s front door and very soon I realized that I wasn’t just stepping into any regular building, I was stepping into an environment surrounded by people who all want to create mass impact in the world.


The Future of Nanotechnology?


What are nanorobots made of?

Metal? Software? Micro-camera? Capacitor?

Nope — that’s no the case for Xenobots, the world’s first living programmable nanorobots are made of live frog (Xenopus Laevis) stem cells (hence the name Xenobots). Aka: the only robots in the world that is both life and machine.

A team of computer scientist and researchers from the University of Vermont pioneered Xenobots, “First Living Machine” that has the potential to revolutionize nanotechnology.

So these researchers essentially turned this:

Blockchain — from once the technology that made people rich to now the technology that’s about to change the world.

Do you still remember the period of time when the cryptocurrency market increased by over 50-fold over the course of just 12 months?!?!

This is what happened:

Leveraging CRISPR technology to treat Leber Congenital Amaurosis 10, a rare genetic retinal disease that causes blindness.

I can’t imagine a world of darkness, but I know that the person that lives in such a world could have easily been me, and could have easily been you. I’m so lucky and genuinely grateful that I don’t live in a world of darkness. That’s why I decided to do something about this problem as a 16-year-old exponential tech enthusiast.

Leveraging reinforcement learning to enhance structure-based drug design models by optimizing generated molecules to demonstrate desired properties.

Brief Description: Using a reinforcement learning approach explained in this article, generated molecules were optimized such that they exhibit inhibitory activity against JAK2 to treat blood cancers like polycythemia vera. This validates that the approach is effective for designing molecules with the user-desired property.

Taking a drug from research to patients takes 10+ years and costs on average 2.6 billion dollars!

Computational methods, in particular, artificial intelligence offers a very promising approach to accelerate drug discovery.

However, many current machine learning & structure-based drug design approaches are limiting because they are unable to effectively control the properties of the generated…

Leveraging CycleGans to translate T1-weighted MRI images to T2-weighted MRI images.

Radiologist misdiagnose 40 million people worldwide each and every single year🤯!

While other things like technology are constantly innovating, we also have to significantly improve methods of disease diagnosis. By simply reducing false-negative and false-positive misdiagnosed cases, we can literally solve half of the healthcare problem.

If better imaging tools and equipment existed to be able to spot diseased sites more accurately, this can potentially save millions of lives! …

Accelerating drug discovery by leveraging machine learning to generate and create retro-synthesis pathways for molecules.

The way we discover drugs is EXTREMELY inefficient. Something needs to be done.

Despite all the innovation that is happening in the pharmaceutical industry recently, especially in the cancer research space, there’s still a huge gap for improvement!

Our current approach to drug discovery hasn’t changed much since the 1920s.

This is the story of how drugs were once discovered:

In 1928, Alexander Fleming, a pathologist, often described as being “care-free” accidentally left his petri dish uncovered beside a window before leaving for his month-long vacation.

Arriving back from his lovely vacation, something even lovelier happened. *To his surprise*, the…

We need more boss ladies.

When we think of the word boss, we immediately think of people like CEOs or founders of major companies like Bill Gates, Elon Musk, and maybe your manager at work.

The first question you should keep in mind: Where are all the “boss LADIES”?

It doesn’t take being a billionaire or being the CEO of a company to be a boss. In fact, what if I told you that anyone can be a boss?

The second question: What prevents women from being boss ladies?

The rate of technological advancement has been crazy in the past decade! We can use artificial…

Joey Mach

Passionate about the intersection between biotechnology and artificial intelligence. Always working on interesting stuff.

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