> One of our beliefs is that life sciences will be disrupted by those with rigorous training in mathematics and computer science without a previous background in biology. These fields provide tools for reasoning about biological problems in different ways from traditional researchers.
> One Latch engineer finished most of Berkeley's graduate mathematics program in a few years of undergrad before dropping out to join the team. Another one built an operating system and compiler before he could drive. None had classical training in molecular biology. All have proven to be incredibly fast learners.
I am betting myself $20 right now that this is the last I ever hear of this company, except perhaps if there's an HN post when they go under and everyone is like "remember 6-day-a-week-Mission-Bay-only guy?"
Especially since this enlightened gentleman decided to name his company after both a common English word and an already publicly traded company. It seems he believes one does not need to understand marketing either to be good at it.
> Since their departure from campus, Workman, Giffin and Andere have begun assembling a team of engineers and designers to execute their ambitions. They are now working closely with some of the leading research institutions in the world — including Stanford, Massachusetts Institute of Technology and UC Berkeley — to build out data platforms, Workman added.
> Eventually, the founders hope to create a universal platform for biocomputing that operates as the “de facto place” for scientific analysis, Workman said. In the short term, they will continue establishing connections with laboratories and researchers around the world while addressing as many of the community’s software concerns as possible.
> According to Workman, as soon as early (2022), they hope to have complete coverage over relevant codebases in academia.
This reminds me of Elizabeth Holmes when she wanted engineers to work 24-hour shifts and she was upset they couldn't hire anyone willing to work those hours.
I wonder how many of the 200 he claims to have interviewed would have agreed to work there if asked. Or how many they made offers to who declined when they found out that they'd be expected to lose a weekend day.
Out of curiosity how do they plan too monetize these workflows? I'm sure the really big players in the industry (i.e. Merck/Eli Lilly/etc..) all have their own bespoke workflows. Maybe, the founder actually put in a few years at one of these companies and knew some of the gaps in their workflow but looking at his resume that doesn't seem the case.
At twitter engineers are working 18 hours a day, 6 days a week - sleeping on the floor of the office. I don’t agree with Musk but he’s really influential and his style of management is going to be copied like others copied Steve Jobs!
[+] [-] dj_mc_merlin|3 years ago|reply
> One of our beliefs is that life sciences will be disrupted by those with rigorous training in mathematics and computer science without a previous background in biology. These fields provide tools for reasoning about biological problems in different ways from traditional researchers.
> One Latch engineer finished most of Berkeley's graduate mathematics program in a few years of undergrad before dropping out to join the team. Another one built an operating system and compiler before he could drive. None had classical training in molecular biology. All have proven to be incredibly fast learners.
I think the quotes speak for themselves..
[+] [-] refurb|3 years ago|reply
[+] [-] unknown|3 years ago|reply
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[+] [-] ElfinTrousers|3 years ago|reply
[+] [-] dj_mc_merlin|3 years ago|reply
[+] [-] Ancalagon|3 years ago|reply
[+] [-] trynewideas|3 years ago|reply
> Since their departure from campus, Workman, Giffin and Andere have begun assembling a team of engineers and designers to execute their ambitions. They are now working closely with some of the leading research institutions in the world — including Stanford, Massachusetts Institute of Technology and UC Berkeley — to build out data platforms, Workman added.
> Eventually, the founders hope to create a universal platform for biocomputing that operates as the “de facto place” for scientific analysis, Workman said. In the short term, they will continue establishing connections with laboratories and researchers around the world while addressing as many of the community’s software concerns as possible.
> According to Workman, as soon as early (2022), they hope to have complete coverage over relevant codebases in academia.
[+] [-] lupire|3 years ago|reply
prodigal:
adjective
1. spending money or resources freely and recklessly; wastefully extravagant.
[+] [-] CBarkleyU|3 years ago|reply
"
[...]
Cons
Small startup
Does not pay too much without taking equity into account.
[...]
"
[+] [-] randycupertino|3 years ago|reply
[+] [-] kahlonel|3 years ago|reply
[+] [-] ivraatiems|3 years ago|reply
[+] [-] klipt|3 years ago|reply
https://en.wikipedia.org/wiki/Nominative_determinism
[+] [-] typon|3 years ago|reply
[+] [-] potbelly83|3 years ago|reply
[+] [-] mritun|3 years ago|reply
This is just a start :)
[+] [-] rdtwo|3 years ago|reply
[+] [-] zjp|3 years ago|reply
[+] [-] unknown|3 years ago|reply
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[+] [-] unknown|3 years ago|reply
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[+] [-] bsg75|3 years ago|reply