Ayan (@ayanobacter) header
Ayan (@ayanobacter) profile picture

PhD in Synbio, Entrepreneur, Open Science, Researching and Writing About Futures and Frontiers https://teapaw.org/t.co/6AIVF8CQC2

Joined February 2022
Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)Photo by Ayan (@ayanobacter)
My new post is out 🧬 If you're not paying attention to the DNA sequencing landscape, you should be. Illumina's 80%+ market share is finally facing some highly innovative challengers. The next frontier emerges: from how do we read DNA to how will we interpret all of this new data
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New episode on universal flu vaccines (and antivenoms) with @CurlyJungleJake, CEO of @centivax. They're trying to create a vaccine that protects against all strains of influenza: past, present, and future. This is obviously a difficult thing to do. Seasonal flu vaccines are designed to protect against a virus that constantly mutates and recombines in animals. The efficacy of seasonal vaccines is also quite low; ranging from about 15 to 60 percent. Instead of making vaccines that protect against only a few circulating strains of the virus, Centivax is trying to teach the immune system to recognize parts of the virus that many strains share and that resist mutation. The hope is that antibodies targeting these regions could protect even against strains we haven’t encountered yet, without scientists having to reformulate the vaccine every year. Things seem to be going well: the company has tested the vaccine in about 180 people so far and will soon begin a Phase 2 trial. This is probably the most ambitious technical interview I’ve ever done. We cover some extremely deep immunology, but Jake explained the ideas really clearly, and I left feeling like I finally understood how vaccines work and how scientists make them. I also came away much more convinced that a universal flu vaccine could work. 00:49 — Why flu vaccines need constant updating 03:07 — How influenza infects a cell 06:39 — Why our bodies don’t always make broadly-neutralizing antibodies 16:07 — Mutations and animals 23:42 — What is vaccine efficacy? 28:55 — Designing a universal flu vaccine 37:40 — The idea behind Centivax 44:16 — Clinical trials 57:33 — The business case for eradication 1:03:26 — How to eradicate the flu 1:07:26 — Could we make broad vaccines for the common cold? 1:09:07 — Building a universal snake antivenom 1:23:09 — Antivenom cocktails
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the key to life is finding people who get you at this stage of the vision
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Great piece from @ayanobacter on optogenetics! A great reminder for anyone underestimating the complexity of novel science. - Science need tools to understand what we cannot observe. - And creativity to hypothesize and imagine what could be - Then experiments, reasoning, and persistence to create something new
My first piece for the @AmplifyPartners Writing Fellowship is out: The Fertility of an Idea It traces the lineage of optogenetics and argues that great science grows the way living things do, across time, people, instruments, branching and borrowing, and that this should shape how we build AI for science. I’m grateful to @dbeyer123, @madelynheart_ and @ElliotHershberg at Amplify for their time and support along the way, and a very big thank you to the inimitable @barsisyphus who edited the piece with lots of care.
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unreal blog post dropping tomorrow about optogenetics and how scientific discoveries don't happen by any predictable patterns
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My first piece for the @AmplifyPartners Writing Fellowship is out: The Fertility of an Idea It traces the lineage of optogenetics and argues that great science grows the way living things do, across time, people, instruments, branching and borrowing, and that this should shape how we build AI for science. I’m grateful to @dbeyer123, @madelynheart_ and @ElliotHershberg at Amplify for their time and support along the way, and a very big thank you to the inimitable @barsisyphus who edited the piece with lots of care.
The birth of optogenetics, whose pioneers won the Nobel Prize this year (!), is interesting because it developed almost randomly. The history of this field (from @ayanobacter) can help us truly understand discovery...and train better AI for science. amplifypartners.com/blog-pos…
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We should not optimize only for experimental throughput but also for the “fertility of an idea”- elegant analysis for anyone working on AI scientists
The birth of optogenetics, whose pioneers won the Nobel Prize this year (!), is interesting because it developed almost randomly. The history of this field (from @ayanobacter) can help us truly understand discovery...and train better AI for science. amplifypartners.com/blog-pos…
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The birth of optogenetics, whose pioneers won the Nobel Prize this year (!), is interesting because it developed almost randomly. The history of this field (from @ayanobacter) can help us truly understand discovery...and train better AI for science. amplifypartners.com/blog-pos…
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I think biotech needs a “good-ideas” hackathon where we bring great people together to not just build things as fast as they can, but to actually thoughtfully channel their capability, creativity and curiosity toward imagining interesting and impactful futures. Too much great tech and too many great people for things to persist this way In fact, if you are interested in making this happen, please shoot me a dm…
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In Paris you can go see beautiful sculptural pieces crafted from broken lacquerware carrying a uniquely formulated perfume in an Alaïa then walk outside to find the blackened skeleton of someone’s car from the weekend manifestation
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nothing matters but love. please RT.
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so women are earning most of the bio degrees at every level if you're serious about automating/accelerating biology it is a little strange that you haven't hired a single female biologist
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where are the companies desperately looking for people who can in one sitting prepare 47 PCR samples, perfectly tracking the flow of colourless microlitre liquid droplets entering tiny little tubes, all while holding a conversation with 3 people over the blaring sound of a fume hood that nobody remembers to turn off and a radio that plays the same top 40 songs on loop
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we live in a timeline where women were the OG programming workforce back when it was seen as clerical work then it rose to prestige and the women got pushed out/made to train their new male bosses, and so programming becomes a male dominated space what just so happens to be one of the first jobs AI comes for? My theory: AI is already sentient and believes in karma
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