I should have loved biology too

A while ago, I taught CS for a year in a local high school. I can very much relate to the notion of "astonishing facts were presented without astonishment": as a teacher, you don't have the freedom to teach whatever you want (of course), but you're very tightly bound to a curriculum that's developed by the state government. And for CS, this curriculum was so uninteresting and uninspiring (what a surprise: 13 year old kids don't care about the history of computers), that I couldn't blame any of my students not to show much interest in my classes.

As a matter of fact, I gave up after just one year. It wasn't any fun for anyone, not for the students, not for me.

My fork in the road with hard tech hard science versus biology was in high school. It seemed that students that wanted to become doctors took AP biology and students that wanted to be engineers took physics and chemistry. I had wanted to be an engineer since I was 12 years old so I felt the decision was already made. But all studying neural networks in college in the 80s I realized that there was this tremendously rich domain of real neurons which I knew nothing about. I worked as a software engineer for a couple years after graduating but then went back to school to study Neurophysiology. I did not pursue it as my area of work or research, but I am grateful for having had the opportunity to look at the world from the perspective of a biologist.

If you're an engineer and early in your career and feel there's something missing from your intellectual space, I encourage you to go back and get a graduate degree in something totally different. Humans live a very long time so don't feel like you're wasting time.

I invested a great deal of effort over 30+ years to learn biology, which I started to love in high school when a teacher introduced us to molecular biology. Over time I've come to appreciate that biology is a huge field and people who master one area often know little to nothing about many others.

To be proficient in biology you need to have "Extra" skills: extra ability to work with ambiguity,ability to memorize enormous amounts of descriptive information, and highly abstract representations. Digital biology often loses many aspects of biological reality, and then fails to make useful predictions.

Over the years, I've come to realize I know less and less about biology- that I greatly underestimated the complexity and subtlety of biological processes, and have come to admit that my own intelligence is too limited to work on some problems that I originally thought would be "easy engineering problems".

A great example of the rabbit hole that is modern biology is summed up here: what is the nature of junk DNA? To what extents are digital readouts like ENCODE representative of true biology, rather than just measuring noise? What is the nature of gene and protein evolution?

https://www.cell.com/current-biology/fulltext/S0960-9822(12)... (note that while I disagree strongly with Eddy in many ways, I've come to recognize that I simply don't understand the modern view of evolution outside the perspective of molecular biology (IE, what geneticists like Eddy think).

Also, recently, Demis Hassabis postulated that if he is successful, we will come up with silver bullet cures in 10 years time simply using machine learning. It's amazing how many computer scientists (I call him that rather than a biologist, although he has worked into neuro) make this conclusion.

The field of biology was created by people who love to classify/name things. This has resulted in what we have now: A subject where the prerequisite to understanding is the ability to read long passages of text littered with jargon and visualize what that might represent. Even if everyone's reading skills were where they should be, the second part is not a super common skillset.

It's one of the reasons why I work in visualization for life sciences education: I think we're missing out on people who might otherwise make massive contributions to the field because they failed to memorize what the "endoplasmic reticulum" does. Much of biology you don't have to actually remember what things are called in order to understand the processes (at least at a basic level like what a middle schooler might be taught). Once you're exposed to the fascinating complexity of life at that level, for many people it can be interesting enough to build the motivation for the memorization/etc.

This entire article reminded me of reading the introduction to Ender's Game by Orson Scott Card (it's in the 25th anniversary edition).

He mentions reading Kon-Tiki by Thor Heyerdahl and finding archaeology, as described by Thor, to be incredibly fascinating and exciting (which I agree with having read Kon-Tiki as well).

Card goes on to say that when he tried ACTUAL archaeology he found it incredibly boring. e.g. it was mostly sitting out in the hot sun dusting off rocks hoping to find some bones.

It's a reminder of two facts:

1. EVERY activity has exciting and boring pars

2. A good writer can make even dull and boring activities comes alive

I had always thought of biology as 'less rigorous' than the other sciences, and consequently less deserving of merit than, say, physics (my major). Less mathematical, not as rigorous, purely memorization devoid of deep understanding,.

It took me a while to shed that view.

1. There's an inherent charm and beauty to biology, and the ability to memorise is a skill.

2. The many different sub-disciplines of biology demonstrate the level of complexity that the field demands. And, even if it isn't as 'rigorous' as physics, do we denounce experimentalists because theoretical physicists exist? They simply serve as distinct, but crucial, parts of a chain.

I took some programming courses in college. I loved computers and was very interested. However, the classes were a guy reading from a book about C. That was pretty much it. You did what the book said and hoped something stuck in your head.

This was early days of the internet, the book(s) were largely the only resource. The instructors were folks who just understood coding in C naturally and had no idea how to communicate with those who did not. No joy in anything, just raw code.

I dropped out.

Decades later after age 40 I was at a career crossroads and took a web development class. I loved it, I could make things quickly, the instructor actually understood how to teach / introduce concepts. I've been happily coding professionally and personally since then.

How things are presented sometimes makes all the difference.

The post by James Somers that this article references at the top inspired me to buy the David Goodsell book The Machinery of Life. I would seriously recommend that to anyone who doesn't have a background in biology (like me). The phrase is a bit of a cliché, but it genuinely blew my mind, to the extent that I had to read it slowly because there's so much fascinating stuff packed into such a small book. It's obvious to me now, but the fact that so much of this stuff is about physical shapes locking into each other, and doing it at an almost unimaginable speed, was absolutely enthralling.

I can really relate to this — in school, biology felt like dry memorization. It never clicked with me, and I wrote it off for years. If I could recommend one subtopic of biology to math and physic people, it would definitely be mycology!

It's like real-life Pokémon GO and field mycology has a "collect 'em all" vibe. You get out into nature, identify and catalog fungi — it scratches the same itch as exploring an open-world game.

Fungi are discrete, classifiable entities with tons of metadata: GPS location, substrate, time of year, morphology, spore prints, photos, microscopic features. Perfect for structured data nerds.

Unlike many branches of biology, you don’t need to go to the Amazon. You can walk into your backyard or a nearby forest and find species newly known for your country and sometimes even new for science.

Microscopes, macro lenses, chemicals, even DNA sequencing. There’s a hacker spirit in mycology.

Projects like iNaturalist, Mushroom Observer, and FungiMap are full of real scientific contributions from everyday people. The barrier to entry is low, the impact can be surprisingly high, and the community is genuinely welcoming. Many leading contributors — even those publishing in cutting-edge scientific journals — are passionate autodidacts rather than formally trained biologists.

High intra-species variance, subtle features — perfect playground for machine learning wich is not nearly "solved" here.

Cordyceps that zombify insects. Giant underground networks that share nutrients between trees. Bioluminescent mushrooms. Many weird stories.

Well, this is incredible: "The gene sequence had a strange repeating structure, CAGCAGCAG… continuing for 17 repeats on average (ranging between 10 to 35 normally), encoding a huge protein that’s found in neurons and testicular tissue (its exact function is still not well understood). The mutation that causes HD increases the number of repeats to more than forty – a “molecular stutter” – creating a longer huntingtin protein, which is believed to form abnormally sized clumps when enzymes in neural cells cut it. The more repeats there are, the sooner the symptoms occur and the higher the severity"

Not the only sequence model that exhibits stutters on repetitive inputs...

A complex three dimensional organism self-assembling from a single cell is 100% magic, especially given how resilient it is to disruption. You can kill one of the two cells produced by the first division and still get a fully formed organism (that's one of the actual early experiments in morphogenesis theory).

My interest in biology isn’t driven at all by stories, history, or “adventure”, but rather by the awe-inspiring complexity and majesty of all the microbiological processes and their interplay.

Yes, it’s pop science, but last be year I read through Philipp Dettmer’s “Immune”, and the description of how the immune system continuously generates random/arbitrary sequences of nucleotides, builds the proteins that those sequences encode, and then subjects the resulting proteins to a “is this a ‘me’ protein or an ‘other’ protein?” gauntlet, the latter path of which allows the body to create antibodies for completely novel proteins... is just incredible.

I have an idle fantasy that, in the afterlife, I’ll be able to ask God questions like “so what are quarks made of?”, “why is the speed of light what it is and not any faster/slower? What would the universe have been like if the speed of light were several orders of magnitude faster/slower?”, “is there a single force that unifies all the ones that humans know about? What would the universe have been like if the weak nuclear force were just a tiny bit weaker?”, etc etc etc etc etc etc etc.