saurabh20n

17 ms·

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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, Data Mining, Bioinformatics, Microbial engineering Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cel
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, Data Mining and Bioinformatics Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cells that produce phar
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, data mining, NLP, and computational biology Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cells that
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, data mining, NLP, and computational biology Biology is severely under-utilized. 20n (YC W15) fixes that by letting software predictions direct genetic
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, data mining, NLP, and computational biology Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cells that
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, data mining, NLP, and computational biology Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cells that
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by saurabh20n 11y ago
Indeed, YCombinator gave us the $120K. Our total funding + revenues are much higher. You missed the part about Khosla Ventures, DARPA, and Fortune 500 contracts, and that we are already profitable :). Biology, especially when done through s
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by saurabh20n 11y ago
If the candidate is right, yes. Email us at: jobs@20n.com
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by saurabh20n 11y ago
20n | San Francisco | Full Time, ONSITE | http://20n.com | Machine learning, data mining, NLP, and computational biology Biology is severely under-utilized. 20n (YC W15) fixes that using software predictions to create cells that
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Software Is Designing Useful Microbes That Don't Exist in Nature(motherboard.vice.com)
3 points by saurabh20n 12y ago|0 comments
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by saurabh20n 12y ago
email me: info@20n.com
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by saurabh20n 12y ago
Indeed! We love this community [1]. We started 20n with DARPA's help, in part to gather more steam around the accuracy of software predictions tools within synthetic biology. You seem to have worked on these tools, and so must know the
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by saurabh20n 12y ago
Yes. When going after non-trivial chemicals the economics work out, and is cheaper when scaled up. The process essentially repurposes beer fermentation. The usual benefits of biological production: carbon-negative, and not using any toxic c
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by saurabh20n 12y ago
Hi glowing plants :) Indeed. We like our simple to manipulate (relatively speaking) microbes, but would be happy to see what avenues there are in other customer domains.
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by saurabh20n 12y ago
Hah! Oh PKS-es! Megasynthases (PKS, NRPS, FAS) do not currently feature very heavily in our algorithms, but their modeling is certainly within our intended algorithmic expansion plans. As for whether they are understated/overstated, my
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by saurabh20n 12y ago
Completely understand your sentiment. I have been releasing software as open source for 10+ years -- all of my 7 years of program synthesis PhD sw is available as open source. With 20n, we had to tread more carefully. As monocasa implied, o
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by saurabh20n 12y ago
Tech people. Ideally, somebody with algorithms chops, but one who doesn't get scared by biology or chemistry.
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by saurabh20n 12y ago
Defensibility for us: microbes we build, and the platform they form. Our software-driven engineering is significantly faster than the state-of-the-art: human's looking at metabolic maps. People will start building on top of our initial
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by saurabh20n 12y ago
Many limitations! Constructing the designs (i.e., going from data->dna->cells) takes time and is expensive: we pay vendors for the construction. So we have to restrict our software to output designs that yield the most novel products,
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by saurabh20n 12y ago
Optimizing for large scale production is indeed what most of the field works on. There have been many success stories: an anti-malarial drug through yeast (Artemisinin by Amyris+Sanofi), a plastic precursor through bacteria (1,4-BDO by Geno
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by saurabh20n 12y ago
Founder here; working on software that exploits the full potential of engineered microbes; we're using them to make therapeutics, plastics, materials, etc. happy to answer any questions.
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20n (YC W15) Uses Software To Engineer Microbes For Chemical-Making(techcrunch.com)
55 points by saurabh20n 12y ago|32 comments
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Rosetta: Science Mag's breakthrough of the year, and 9 runner ups [video](youtube.com)
1 points by saurabh20n 12y ago|0 comments
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CRISPR-Cas9: exceptional biotech breakthrough, mired in patent fight(technologyreview.com)
10 points by saurabh20n 12y ago|0 comments
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by saurabh20n 12y ago
The announcement itself is pretty sparse on the proposed approach, but given the research interests of Swarat Chaudhuri [1] and Moshe Vardi [2], I would guess they will attempt to combine recent advancements in program synthesis, program ve