Perhaps the term "canalization" fits? Coined by C.H. Waddington, describing the process of forming a chreode in a homeorhetic system. But it doesn't really encompass the "everything becomes overly generalized" concept you mentioned. Rather, it's more about robustness against perturbation of a trajectory in a conceptual space. Christopher Alexander called them 'paths in configuration space'.
Nobias Therapeutics | Norcal/Mountain View/Palo Alto/SF; Philadelphia, PA; other locations welcome - particularly Boston, MA; Miami, FL; Austin, TX; REMOTE also acceptable (US, Canada, London/England, other countries considered on a case-by-case basis) | Full-Time | salary + equity
Hello HN! We have hired a number of people from this monthly "Who is hiring?" post. Please don't be put off by how spare our website is. We are doing very exciting work at the nexus of biology and computer science, and we would love to talk to you. If you've reached out recently but haven't heard back, we appreciate your patience as we work through a backlog of submissions. We have primary offices in Mountain View, CA and Philadelphia, PA - so even though we have a number of remote and hybrid employees, we're particularly excited about hiring local people.
Nobias is a new pharma startup using a variety of built-from-scratch, custom AI tools to speed drug development. As an early stage biotech, we use large repositories of biological data, bleeding edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics/biomarkers, and biological insights for a variety of diseases, particularly pediatric rare diseases. If you have strong programming chops, a background in machine learning, and deep knowledge of biology or computational chemistry, we would love to speak with you.
Multiple roles are available - right now we are particularly concentrating on expanding our stable of AI engineers who have deep expertise in modern ML techniques. You should understand these techniques at the deepest level possible, and be able to extend existing research and construct new concepts from scratch, while also understanding cell and molecular biology very well. Finally, we are also recruiting for a leader in Translational Research. This position will focus more on outstanding biology knowledge and the process of moving from concept to validation.
[our domain is nobiastx.com - our website is in flux, so please excuse the lack of detail!]
Please contact us at hn_recruiting {@} [our domain].
Broadly speaking, engaging in a task activates the task-positive network, which actively suppresses the default mode network [1][2][3]. This likely happens during meditation [4], as during properly done meditation, one is supposed to be focused on the task of breathing. But this can be interrupted, particularly by stray thoughts/salience/attention shifts [5].
Nobias Therapeutics | Norcal/Mountain View/Palo Alto/SF; Philadelphia, PA; other locations welcome - particularly Boston, MA; Miami, FL; Austin, TX. REMOTE also acceptable (US, Canada, London/England, other countries considered on a case-by-case basis) | Full-Time and INTERNS | salary + equity
Hello HN! We have hired a number of people from this monthly "Who is hiring?" post. Please don't be put off by how spare our website is. We are doing very exciting work at the nexus of biology and computer science, and we would love to talk to you. If you've reached out recently but haven't heard back, we appreciate your patience as we work through a backlog of submissions. We now have an office in Mountain View, CA - so even though we have a number of remote and hybrid employees, we're particularly excited about hiring local people and recruiting interns for the summer.
Nobias is a new pharma startup using a variety of AI tools to speed drug development. As an early stage biotech, we use large repositories of biological data, bleeding edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics, and insights for a variety of diseases, particularly pediatric rare diseases. If you have strong programming chops, a background in machine learning, and deep knowledge of biology or computational chemistry, we would love to talk to you.
Multiple roles available, particularly for ML engineers, computational biologists, and medicinal or computational chemists. We are also looking for product managers with experience or interest in the space. Finally, we are always on the lookout for exciting people with integrity, intelligence, and the desire to work in an AI pharma company, particularly people with other business skills (business development, HR/Payroll, executive assistant).
[our domain is nobiastx.com - our website is in flux, so please excuse the lack of detail!]
Please contact us at hn_recruiting {@} [our domain].
Nobias Therapeutics | Norcal/Mountain View/Palo Alto/SF; Philadelphia, PA; other locations welcome - particularly Boston, MA; Miami, FL; Austin, TX; Boulder/Denver, CO; REMOTE also acceptable (US, Canada, London/England, other countries considered on a case-by-case basis) | Full-Time and INTERNS | salary + equity
Hello HN! We have hired a number of people from this monthly "Who is hiring?" post. Please don't be put off by how spare our website is. We are doing very exciting work at the nexus of biology and computer science, and we would love to talk to you. If you've reached out recently but haven't heard back, we appreciate your patience as we work through a backlog of submissions. We now have an office in Mountain View, CA - so even though we have a number of remote and hybrid employees, we're particularly excited about hiring local people and recruiting interns for the summer.
Nobias is a new pharma startup using a variety of AI tools to speed drug development. As an early stage biotech, we use large repositories of biological data, bleeding edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics, and insights for a variety of diseases, particularly pediatric rare diseases. If you have strong programming chops, a background in machine learning, and deep knowledge of biology or computational chemistry, we would love to talk to you.
Multiple roles available, particularly for ML engineers, computational biologists, and medicinal or computational chemists. We are also looking for product managers with experience or interest in the space. Finally, we are always on the lookout for exciting people with integrity, intelligence, and the desire to work in an AI pharma company, particularly people with other business skills (business development, HR/Payroll, executive assistant).
[our domain is nobiastx.com - our website is in flux, so please excuse the lack of detail!]
Please contact us at hn_recruiting {@} [our domain].
Nobias Therapeutics | Northern California/Mountain View/Palo Alto/San Francisco; Philadelphia, PA; other locations welcome - particularly Boston, MA; Miami, FL; Austin, TX; REMOTE also acceptable (US, Canada, London/England, other countries considered on a case-by-case basis) | Full-Time | salary + equity
Nobias is a new pharma startup using a variety of AI tools to accelerate drug development and drive towards predictable discovery. As an early stage biotech, we use large repositories of proprietary biological data, bleeding edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics, and insights for a variety of diseases, particularly pediatric rare diseases. If you have strong programming chops, a background in machine learning, and deep knowledge of biology or computational chemistry, we would love to speak with you.
Multiple roles available, particularly for Deep Learning/ML engineers, computational biologists with expertise in systems biology, and extremely strong programmers looking to move into the biotech space. We are also looking for an operations/business development director (see our post here - https://www.linkedin.com/jobs/view/3416697042/). Finally, we are always on the lookout for exciting people with integrity, intelligence, and the desire to work in an AI pharma company, particularly people with other business skills (clinical operations, program management, executive assistant, other business roles, etc).
[our domain is nobiastx.com - our website is in flux, so please excuse the lack of detail!]
Please contact us at hn_recruiting {@} [our domain].
I've worked with Surojit; he was an absolute superstar. He rose through the ranks on the basis of mountains of backbreaking and incredibly impactful work.
He also had a terrible reputation of being an arrogant prick. People hated working for him (or so I've been told). I've heard he made grown people cry.
None of that is true, so far as I know. I remember him as kind and considerate. That doesn't mean he wasn't demanding, but he was quite fair, and sensitive to the impact of his words and actions.
Decades ago my very very bright HCI prof commissioned a psyc study for a database we were building for some biologists next door, you know so we could better address their needs in ways that would be useful to them.
Details are pretty fuzzy anymore but they proved correct many times over.
Things the study said would not work never worked i.e.
biologists wanted "temporarily" private data, say until till published
as psyc predicted they would never freely share it.
but the biggest thing I will try to paraphrase:
Biology is an observational, the work is in interpreting
which lends to group dynamics and politics, leaders ect.
Which is at odds with Math/CS which is constructive
where if something can be proved then that is that.
So when a CS person states a fact from their perspective
a biologist might see it as just another opinion subject
to hierarchical ranking.
So I would argue it is a function the individuals proclivities
and correlated training in the cultural environment they end up in.
So a healthy work environment could value both fact and opinion
where each has a complementary role whether academic or industry.
But as a longtime academic, I am now sadly looking towards industry.
The people staffing senior leadership in pharma/biotech are typically either former PIs from the academia, or people who could have been PIs but chose to go straight for the industry.
They have more cash to play with, but their leadership fails in the same pattern.
