biology
31 statements across 20 episodes · 20 bullish · 1 bearish · 14 people on the record · first statement Jul 15, 2017 by Vijay Pande · across every show →
Everything said about biology, oldest first
Jul 15, 2017 positive
Jul 29, 2017 positive
Horowitz: Candidates With Both CS and Biology Skills Will Easily Find Jobs
“Having those two skill sets makes you, like, There's, you will have no problem getting started in the industry just because there are very few people who have both vocabularies and the kind of opportunities in it are so big, so I, like, I don't think you can m…”
Dec 15, 2017 bullish
Dec 15, 2017 positive
Conde: Biology is shifting from experimental science to an engineered discipline
“As we move beyond software, we're at this point where we're seeing this incredible convergence between biology, computer science, and engineering. And it's this convergence that's going to give us broad new superpowers to understand and manipulate biology. Ess…”
Jan 11, 2018 bullish
Pande: Machine learning will convert biological science risks into predictable engineering problems
“I think what we expect to see is the shift from many areas that used to be areas of science risk through engineering mechanisms and machine learning now become really engineering problems. With that in mind, we can finally understand and tackle the technical d…”
Jan 11, 2018
Pande: Biology operates like software development burdened by technical debt
“And if you think about it, biology is all about technical debt. Biology is trying to get that MVP out. You're trying to, like, survive the T-Rex coming after you. You know, you're not gonna be able to make things perfect.”
Jan 11, 2018
Pande: Bioengineering requires deciphering complex code similar to resolving Y2K
“I think you might be seeing where I'm going with this, is that that's a lot like what we have to do in biology. You know, we have to get into the code which is a mess and understand it, and just understanding the code of biology is something extremely difficul…”
Jan 11, 2018
Pande: Biological complexity exceeds the limits of unassisted human understanding
“And when you talk to a biologist, and I think what we're starting to realize is that there's a fundamental conclusion that comes from this, is that biology is so complicated that it's probably beyond what the human being can understand.”
Jan 11, 2018 bullish
Mar 23, 2018 positive
Pande: Break moonshot bio goals into engineering milestones instead of screening
“If you break it up into little bits, any little bit isn't so bad. And can be engineered. And you sort of do it step by step by step by step. And I think that's, for me, the inspiration for how to take some big crazy thing like going to the moon, that if you di…”
Mar 23, 2018 positive
Mar 23, 2018 positive
Pande: Principles of traditional engineering disciplines carry over to biological systems
“I think mechanical engineering, electrical engineering, material science, computer science, all these disciplines are pushing into biology, and so instead of steel, it's bone, or it's muscle, but the same principles actually carry over really nicely, and if yo…”
Jan 2, 2019 bullish
Pande: EDA tools applied to biological circuits will revolutionize biology
“I think what we're going to start to see is the literal engineering of biological circuits inside cells. The ability to design circuits, much like we design electronic circuits. And the reason why this is important is that there's only so much you can do by ha…”
Jan 2, 2019 bullish
Jan 2, 2019 positive
Pande: Dual-domain biology and computer science founders will be a major trend
“What we're really seeing emerging are new founders, Founders that also live in both of these worlds. Founders that have deep experience in the biology and deep experience in computer science, and actually, for these types of companies, I think that's going to …”
Jan 2, 2019 bullish
Conde: Biology will expand beyond healthcare to touch every major industry
“Biology is no longer an industry in and of itself. It's something that's going to touch every single industry, and we're already seeing applications in energy, in textiles, in food, of course in health, and in data storage.”
Jan 2, 2019 positive
Pandey: Traditional engineering principles carry directly over into biological systems
“But I think mechanical engineering, electrical engineering, material science, computer science, all these disciplines are pushing into biology. And so instead of steel, it's bone or it's muscle. But the same principles actually carry over really nicely.”
Jan 2, 2019
Koller: Biological ML requires exploiting domain structure due to dataset limits
“We're still not in the large, large data regime where, you know, blind architectures that don't exploit structure of the problem can just work out of the box. So you really have to understand your problem domain and figure out how to exploit the structure that…”
Jan 2, 2019
Hennessy: Machine learning is driving scientific breakthroughs across biology, chemistry, and astrophysics
“You just see breakthroughs in biology and chemistry, in astrophysics. Coming out of various forms of machine learning. So all of a sudden it becomes this tool that is applicable to a whole range of things and is changing those fields.”
Jan 17, 2019 bullish
Nov 21, 2019 neutral
Feb 24, 2020 positive
Feb 24, 2020
Dec 12, 2023 positive
Apr 30, 2024 bullish
Aug 1, 2024
Dec 12, 2024
Wickramasekara: Biological research software requires highly flexible data models
“The data and the technological needs of serving biology are very, very different. You have an incredibly complex multidimensional data model that's happening while the instrumentation lab is now, you know, vastly generating more, more data than ever, ever befo…”
Nov 6, 2025 negative
Zuckerberg: Biology still lacks a periodic table equivalent in 2025
“It still seems like there could be a lot more effort in this space around building tools, and it's kind of this crazy thing that we're, you know, here in, you know, twenty-twenty-five, and there's not the kind of periodic table of elements equivalent for biolo…”
Nov 14, 2025 positive
Nov 24, 2025 neutral
Epoch AI: Biological AI breakthroughs lag math due to real-world constraints
“It definitely seems plausible, but there's a lot of other concerns there where it needs to It needs to be able to, like, actually do experiments, and get data, and interact with the real world for a lot of these in a way that does not need to happen at all for…”