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tbabej

682 karma · joined April 20, 2018

OSS developer, CTO at proteinqure.com

Github: https://github.com/tbabej Twitter: https://twitter.com/TomasBabej Email: web+hn@<myusername>.com IRC (Libera.chat): tbabej

[ my public key: https://keybase.io/tbabej; my proof: https://keybase.io/tbabej/sigs/LWJTQJVrFHXzqqQo1ZsXqrrUvhBxgYk7kXCR7Y6KOJA ]

submissionscomments
tbabej··on Open source software in quantum computing
This is probably a DNS issue, that I noticed some time ago - using some DNS servers, the qosf.org resolves to wrong IP (which we don't have in our zone at all). If somebody has an idea where this might be coming from, I would be very interested in hearing that.

The correct IP to, i.e. put into /etc/hosts as an workaround is: 169.55.161.194

EDIT: Actually, I might have fixed it. Let me know if you still can't access the website.

tbabej··on Open source software in quantum computing
One of the co-authors here. Never expected this to end up on HN! For people interested in quatum computing and open source tools, we're also organizing a quantum computing track at FOSDEM19 (February, Brussels) [1].

[1] https://qosf.github.io/fosdem19/

tbabej··on Ask HN: Who is hiring? (October 2018)
ProteinQure | Computational drug design | Full-stack dev | Toronto (onsite)

ProteinQure is building the next generation of computational tools to aid in early-stage drug discovery. We're using a combination of physical simulations, quantum computing and reinforcement learning to reimagine how pharma companies create new therapeutics.

We are seeking a Full Stack Developer to become an integral part of our drug design team! You will be responsible for spearheading the development of our distributed internal simulation platform.

We're an early-stage startup and thus you will be working closely with our CTO and CSO on extending and developing our internal simulation platform, both on the frontend and backend. The simulation platform analyzes and visualizes data that is collected from the compute nodes. To address our scaling needs, and to leverage our resources efficiently, the platform runs on a heterogenous mix of cloud and internal nodes. To handle the complexity, you will rely on tools like containerization to cope with the different environments. While emphasis is made on data collection, preservation and internal system maintenance, your role will also involve the use of public databases and APIs, visualization, scraping, development of JS tools and UX design.

See more info at: https://proteinqure.com/hiring/full-stack-dev.html

tbabej··on Ask HN: Who is hiring? (September 2018)
ProteinQure | Computational drug design | Full-stack dev | Toronto (onsite)

ProteinQure is building the next generation of computational tools to aid in early-stage drug discovery. We're using a combination of physical simulations, quantum computing and reinforcement learning to reimagine how pharma companies create new therapeutics. The tools and molecules we are making hope to transform the world.

We are seeking a Full Stack Developer to become an integral part of our drug design team! You will be responsible for spearheading the development of our distributed internal simulation platform.

Responsibilities: We're an early-stage startup and thus you will be working closely with our CTO and CSO on extending and developing our internal simulation platform, both on the frontend and backend. The simulation platform analyzes and visualizes data that is collected from the compute nodes. To address our scaling needs, and to leverage our resources efficiently, the platform runs on a heterogenous mix of cloud and internal nodes. To handle the complexity, you will rely on tools like containerization to cope with the different environments. While emphasis is made on data collection, preservation and internal system maintenance, your role will also involve the use of public databases and APIs, visualization, scraping, development of JS tools and UX design.

Nice to haves: Familiarity with Python data science stack Interest in quantum computing and machine learning Basic understanding of protein structures and modelling

Required Qualifications: Previous experience in software development, computer engineering, or other related fields Familiarity with OOP-based Python 3, testing frameworks, REST, software architecture Experience with web backend development, databases, networking and containerization User level experience with work in cloud-based VM environment (i.e. AWS, Azure, OpenNebula, etc..) Linux system administration skills Passing knowledge of HTML5, CSS3 and JavaScript Deadline and detail-oriented Strong analytical and critical thinking skills

tbabej··on Designing a Quantum Computing Board Game
I signed up for Entaglion while attending IBM Q conference last year (they were sending out the game to interested participants), and I must say it's awesome. Thanks a bunch for creating it, ever since it arrived I had loads of fun! It's proven itself useful especially in making my friends more familiar with the world of quantum computing :)
tbabej··on Augmenting Long-term Memory
> The thing I missed the most about anki was any possibility to edit and manage my cards in plaintext files.

Well, that's exactly what I implemented with the vim plugin referenced in comment below!

tbabej··on Augmenting Long-term Memory
If somebody is looking to streamline their Anki/Mnemosyne card creation, I created this vim plugin a while back:

https://github.com/tbabej/knowledge

It takes a plain text note file and converts it to a set of cards. Syncs the updates if the notes change, and also supports things like images.

I don't have as much time as I used to for open source development, and could certainly use some help (especially on the Anki side, as I am a Mnemosyne user now).

Note that this allows you to not only have a set of flash cards, but also a nice collection of notes grouped by topic, if you want to have an overall look at the section of your domain knowledge (say, linear algebra) in context. This is a bit hard to do with a set of cards already entered in a flash-card application.

tbabej··on Individual/startup applications for Quantum Machine Learning incubator open
Disclosure: I am a co-founder of one of the startups graduating this year. The program accepts (international) applications both from individuals and established companies. I thought it would be helpful to provide some insight how the program works.

As part of the program (situated in Toronto), you get both financial and hardware support. Financial support is in the form of a pre-seed SAFE from VC funds (Bloomberg Beta, Data Collective and Spectrum 28). Hardware partners include Rigetti computing and D-Wave, providing training and access to the hardware.

The program starts with a month long bootcamp, providing scientific and business advice. The science part is lead by actual scientists working in the field (Peter Wittek, Seth Lloyd, Michele Mosca, Roger Melko [1]).

Once you are accepted and your venture is established, you are periodically mentored in 2-month intervals when the "CDL sessions" take place. You get 1-on-1 meetings with accomplished business mentors / VCs / scientists, who can volunteer to work with you over the next 2-month sprint and set your objectives. Companies not attracting any attention from mentors are eventually cut.

The QML incubator is one of several streams under the Creative Destruction Lab, and they are open to international applicants (although they are encouraged to apply sooner). The deadlines are May 10th and May 31st.

If you have questions, comment here, and I'll do my best to answer with the insider knowledge obtained over the past year.

[1] https://www.nature.com/articles/nature23474

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