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laserson

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gothamist.com 1d ago

Waymos cause "way mo" injuries per mile driven than for-hire vehicles in NYC

laserson
12pts16
ankitg.me 2mo ago

AI for Bio has a Fuzzy API problem

laserson
2pts1
www.nytimes.com 9mo ago

Eric Lu Wins International Chopin Piano Competition

laserson
8pts0
www.nytimes.com 11mo ago

U.S. Government to Take Cut of Nvidia and AMD A.I. Chip Sales to China

laserson
52pts16
substack.com 1y ago

The Elusive Virtual Cell

laserson
2pts0
alpha.school 1y ago

Alpha School: AI-powered K-12 school in 2 hrs per day

laserson
2pts1
news.ycombinator.com 2y ago

Ask HN: Tools to help families with Alzheimer's/dementia

laserson
5pts3
avantmusicnews.com 2y ago

Tzadik Records catalog now streaming

laserson
1pts0
www.nytimes.com 2y ago

Family of Henrietta Lacks Settles with Biotech Company

laserson
1pts1
www.wsj.com 3y ago

Sequoia to Separate China Business as Political Tensions Rise

laserson
1pts0
news.ycombinator.com 3y ago

Ask HN: How do you manage your contacts?

laserson
10pts5
www.cshl.edu 6y ago

CSHL to remove James Watson's name from graduate school

laserson
9pts5
mynewsla.com 6y ago

Kary Mullis, inventor of PCR, has died

laserson
2pts2
en.wikipedia.org 7y ago

The Martians – Jewish Hungarian Refugee Scientists

laserson
1pts0
www.cell.com 8y ago

Disease Heritability from Familial Relationships Reported in Medical Records

laserson
3pts0
news.ycombinator.com 8y ago

Ask HN: Easy to move from macOS to Linux?

laserson
2pts2
www.loujost.com 9y ago

Lou Jost, Biologist

laserson
2pts0
blog.cloudera.com 11y ago

How-to: Use IPython Notebook with Apache Spark

laserson
4pts0
blog.cloudera.com 12y ago

Impyla: a new Python client for Impala

laserson
4pts1
github.com 12y ago

Distributed streaming quantiles on PySpark

laserson
10pts0
www.slideshare.net 12y ago

Hadoop ecosystem for the life sciences

laserson
2pts0
github.com 13y ago

Compute squarify treemap layout with python

laserson
1pts0
blog.cloudera.com 13y ago

How to Resample from a Large Data Set in Parallel with R on Hadoop

laserson
14pts0
blog.cloudera.com 13y ago

A Guide to Python Frameworks for Hadoop

laserson
93pts15
tidesonline.nos.noaa.gov 13y ago

Battery Park water level

laserson
1pts0
www.nytimes.com 13y ago

The Royal Society is striving to stay relevant

laserson
2pts0
news.ycombinator.com 14y ago

Poll: What email client do you use?

laserson
4pts20
www.nytimes.com 14y ago

How Nicholas Wade's grandfather survived the Titanic

laserson
2pts0
www.youtube.com 14y ago

Physics explained in 8 min by a homeopathist

laserson
3pts0
www.nytimes.com 14y ago

‘We the People’ Loses Appeal With People Around the World

laserson
2pts0

Nice essay Ankit!

I think there are two more factors worth touching on that make things difficult in drug discovery:

1. It feels like you're differentiating a bit but I always hear of the APIs being leaky. The selection of a target in the target discovery phase may drive which modalities are even available to try to engineer an intervention (e.g., intracellular vs extracellular targets can be addressed with different types of drugs). Clinical factors can also determine whether a particular modality is appropriate (e.g., keeping drugs refrigerated).

2. Costs create constraints that need to be applied at all the stages of the pipeline. Does gathering evidence during target discovery require a unique assay or access to very rare patient samples? What is the size of the addressable market? If you can only target a narrow patient population, it may not end up justifying the costs involved in running the clinical trials. If your chosen drug modality costs $500k to synthesize one dose, how will it be paid for?

I'm a big fan of Tiller [1], which is a paid service that basically just connects Yodlee to Google Docs or Excel. It will dump all your transactions and balance info into a spreadsheet and you can do what you want with it. It also has lots of templates for things like budgeting etc. I run a daily cron job that loads the transaction data and produces a nice Jupyter-based report. It will require some custom building, but the API plumbing is done for you.

[1] https://www.tillerhq.com/

Kagi and Wolfram 2 years ago

One thing I miss from Google is relatively seamless integration with maps. Sometimes the address queries just fail for me on Kagi. And even when they don’t, Google’s maps are still far more useful IMO.

Milk bag 3 years ago

In Israel they produce single-serving chocolate milk bags, which now mainly serve as a fond dose of nostalgia for me.

How does this compare with Concertmaster? It's basically a skin on top of Spotify for browsing classical music. It's free and pretty good. (There's also an app.) And I believe there is a version for Apple Music already?

[1] https://concertmaster.app

Patch Bio | Computational Biologist | New York City | Full-time | REMOTE

Patch Bio engineers DNA for gene therapy. We build technology to make gene therapies safer and more effective, and able to address a broader range of diseases. To do that, we work at the interface of genomics, machine learning, and DNA synthesis. We are a seed-stage, venture-backed biotech startup based in New York City.

We're looking for a Computational Biologist who will be the connective tissue between the wet and dry lab. You will design DNA libraries, analyze sequencing data, and build predictive models of genetic regulation.

Check out a more detailed job description here (with contact info): https://bit.ly/patch-bio-comput-biol

Alchemab Therapeutics | London, Cambridge UK | Software/Data Engineer | ONSITE, VISA | Full-time

Alchemab Therapeutics is a VC-backed newco that is bringing together the latest advances in antibody repertoire profiling, deep learning, and synthetic DNA libraries to discover new antibody-based drugs in a variety of disease areas including oncology and neuroscience. Alchemab aims to deliver a pipeline of targets and therapeutic candidates over the next 18 months.

We are looking for a data engineer with cloud expertise to help build and maintain our cloud/software infrastructure. This person will work closely with our bioinformatics/statistics experts to build reliable data processing pipelines and define/implement software engineering/devops best practices.

Experience with at least some of the following is a requirement:

- AWS stack, including administration and various database products

- Data storage, (relational) data modeling, workflow engines and schedulers

- Python data stack

- Distributed computing engines, such as Spark or Dask

- Docker containerization

Experience with bioinformatics, next-generation DNA sequencing (NGS), and genomics pipelines is a plus.

The ideal candidate will feel comfortable taking the lead at a small startup to define and implement devops and data engineering tasks.

If you're interested, send an email to uri@alchemab.com.

Alchemab Therapeutics | London, Cambridge UK | Software/Data Engineer | ONSITE, VISA | Full-time

Alchemab Therapeutics is a VC-backed newco that is bringing together the latest advances in antibody repertoire profiling, deep learning, and synthetic DNA libraries to discover new antibody-based drugs in a variety of disease areas including oncology and neuroscience. Alchemab aims to deliver a pipeline of targets and therapeutic candidates over the next 18 months.

We are looking for a data engineer with cloud expertise to help build and maintain our cloud/software infrastructure. This person will work closely with our bioinformatics/statistics experts to build reliable data processing pipelines and define/implement software engineering/devops best practices.

Experience with at least some of the following resources is a plus:

- AWS stack, including administration and various database products

- Data storage, (relational) data modeling, workflow engines and schedulers

- Python data stack

- Distributed computing engines, such as Spark or Dask

- Docker containerization

The ideal candidate will feel comfortable taking the lead at a small startup to define and implement devops and data engineering tasks.

If you're interested, send an email to Olivia, our head of operations: olivia@alchemab.com.

So many people use Excel/Google Sheets as a database rather than a spreadsheet, except you don't get any of the advantages of a database. It's astounding to me that there hasn't really been a webapp that's essentially just a nice collaborative frontend for a SQL database, which is how I use Airtable in my lab. I'm very happy to see they're on a sustainable path, and I hope they continue to support the use case of just-a-database. Congrats!

Congrats! We've had a good amount of fun playing with the OT-One (and also some frustrations). I think the large range of volumes is great, along with what seems to be more streamlined/accurate pipetting. I think the enclosure is also a solid feature.

One of my favorite features is the ability to use a simple Python API to define a protocol. Will this still be the case or do people have to use the GUI?

Is there a reasonable (cheap) path to upgrade?

I also thought it was funny that she complained about the committee not raising those questions when she submitted her proposal years ago.

At least in the sciences, your thesis committee is supposed to continually/regularly keep tabs on your progress, and help ensure you're making progress towards a passing dissertation. This is the committee's responsibility.

An approved proposal does not in any way imply a seal of approval for every detail of the dissertation... come on now.

For sure, but the committee should know how things are progressing. In the sciences, the thesis defense is not really a "defense". It only gets scheduled when everyone basically agrees you will pass, and it's more of a celebration. It's very rare to have hostile defenses, and extremely rare for someone to fail. (If that happens, it's usually due to politics.)

As if that is a valid response to this sort of response?

True, but it is concerning if they're bringing up possible plagiarism by her and Dr. Mao, while not following through on any kind of punishment/censure of the two of them.