I've been on a low-effort, low-stakes quest to find whiteboard markers that aren't disappointing. So far, the Chisel-Tip Pentel Markathon Pump Dry Erase Markers are doing well. I've been using them for over a month with no frustration. Tentative recommendation.
https://www.amazon.com/Pentel-Markathon-Marker-Assorted-MWL6SXBP4M/dp/B09K3KXTMB
#moa
We are looking for postdocs! (1) To study how brainwide neuronal activity supports diverse behaviors (w Kenneth Harris); (2) To relate the activity of a neuron to its pre- and postsynaptic neurons across cortex (w Alipasha Vaziri and Federico Rossi). https://tinyurl.com/CortexlabPostdoc
A video of the fascinating interphase HeLa cell data set from OpenOrganelle.janelia.org:
https://www.youtube.com/watch?v=3hVHbIRS48Q
Data acquired and segmented at #HHMIJanelia by the Hess Lab, Saalfeld Lab, and CellMap Project Team led by Aubrey Weigel.
Setup for the HHMI Science meeting tomorrow. Is this the future of conference poster sessions? I tend to view everything as optimization steps along some unknown cost function. We are in an interesting place right now! Love seeing people try something new!
#moa
I would appreciate tips to find people to follow in biology, cs, genomics and anything in between.
I am a cognitive neuroscientist who focuses on how the mind and brain change during healthy aging. I use cognitive tasks along with eye-tracking, fMRI, and EEG to determine how age differences in attentional control contribute to memory impairments. #introduction #cognition #neuroscience
#introduction I am an AI researcher at the University of Amsterdam (UvA) and Northeastern University. I co-direct the Amsterdam Machine Learning Lab (AMLab) with Max Welling.
I am most known for my work on probabilistic programming systems, which is about developing languages for Bayesian modeling and inference.
More generally I am interested in connecting simulation-based methods in the sciences to modern deep learning research.
Looking forward to seeing how this network develops!
I've been thinking about how we can use what we learned about remote work & virtual meetings from the pandemic. It would be great if we didn't have to release lots of carbon to meet, and could live wherever we wanted. But, there are downsides to virtual everything, particularly with our current tech & practices.
Should we really be trying to go back to how things were? Can we learn from our pandemic experience? What are the best practices & tech for setting up virtual and hybrid meetings? Do we really need VR and avatars for virtual/hybrid to work? Are there advantages, for certain kinds of people, of virtual platforms?
This is likely a personal preference: I think virtual works as well as in-person when communication is mostly one-directional, e.g. prepared talks and, to some extent, poster sessions. If conferences are mainly talks and posters, I think they should be virtual.
I am hoping that n-way virtual communication could be better with better organization and technology. Places like CERN have been doing hybrid & virtual meetings for a long time. Can we learn from them? https://qz.com/1832018/how-physicists-solved-your-zoom-video-conferencing-problems
Now to be a bit cynical -- I think those in charge are those that did/do well in our old/current system, but that system is not great for everyone. Again, this is personal, but I'm better at expressing myself in writing. I'm more likely to ask a question at a conference if I can enter a virtual queue. God I dread mixing at conferences. This one time there was "science speed dating" at a conference. It was torture. Maybe for some people sometimes virtual can be better?
Anyways, I thought I'd use this virtual platform to bring up these ideas! I know many disagree on this and are happy to get back to conferences. I'd also like to mention that for people who continue to be concerned about COVID, going back to normal is not yet possible (will it ever be??). For me, this article rings true: "For those still trying to duck covid, the isolation is worse than ever" https://www.washingtonpost.com/lifestyle/2022/10/26/covid-pandemic-still-isolating/
#introduction #biology #biotech #science #academic
Hi all!
I am Akanksha, currently working as a research tech at HHMI Janelia Research Campus, engineering bioluminescent proteins for functional imaging.
My research interests lie at the interface of chemistry, biology, and engineering 🔬. 'A tool developer' describes me best - in the dry lab, I was working on a systems biology project involving detecting hard-to-find nucleotide changes with certain effects from human transcriptome datasets. Transitioning to a wet lab, I have been engineering proteins for various applications.
Being an avid learner, I spend a lot of time reading articles from across various sub-disciplines in bioscience and biotech. I'm happiest when brainstorming ideas in molecular/synthetic biology or new tools that don't exist with a near-perfect cup of coffee☕ ! Always happy to connect over a crazy idea!
Cheers!
Hi all! 👋 I'm a PhD student at Johns Hopkins working on medical image processing, specifically super-resolution of MRI.
Super-res is an inverse problem and therefore we have to "make up" information. This is particularly dangerous in medical scenarios, so I'm working on understanding when (if ever!) machine learning-based super-res can safely be applied to MRI with signal processing foundations.
Looking forward to connecting with everyone!
Hello all! #introduction
I'm a Group Leader at HHMI Janelia Research Campus working at the intersections of #ComputerVision, #MachineLearning, #DataScience, #Neuroscience, #Ethology, #HCI, #SoftwareEngineering. I work on using computer vision, machine learning, and technology in general to help us gain insight into biology. My most cited work involves tracking and behavior analysis of flies and mice. I love algorithms and trying to understand how and when they work and what they're good at. But also I'm an engineer and want to solve problems however I can, regardless of elegance!
I like sunshine, being outside, #climbing, and #crosswords. I dream of someday leaving it all behind and moving to Bishop or Yosemite or the Rockies or something.
Lab website: https://www.janelia.org/lab/branson-lab
Publication history: https://scholar.google.com/citations?user=g558OVoAAAAJ&hl=en&oi=ao
Github: https://github.com/kristinbranson/
Hello #neuroscience people! #introduction time: I’m a post doc at Salk institute studying #astrocytes and #neurodevelopment. I am from Arizona and did my PhD at Harvard studying #serotonin and #mouse #behavior.
In addition to my research, I care about mentoring and am active in Salk’s SACNAS chapter. I’m also a runner training for my first marathon and have two really good cats.
Here’s my website: https://krissylyon.wixsite.com/website.
Hello world! Who is out there? Hope to connect with folks with interests in #neuroscience, #psychology, #physics, #mathematics, machine learning (#ml ), #statistics, #ai, #philosophy, #economics & #linguistics and more generally interesting takes on science, history and the human condition. I do research mostly in neuroscience, physics, and machine learning
Text might be the most neglected part of #dataviz. We talk a lot about how the right chart type and colors can improve visualizations – but not enough about how to use words well.
So I wrote about that in my latest article: https://blog.datawrapper.de/text-in-data-visualizations/
Lots of interesting info. Some surprises:
* Gender disparity in data science is dismal and not improving.
* VSCode & Colab are on the rise.
Tegan Wilson gave a great talk today at Columbia about "optimal oblivious reconfigurable networks". For any given throughput level, they show how to reconfigure a network and route flow to minimize latency. Paper: https://arxiv.org/abs/2111.08780
Lawrence Saul gave a great talk at Columbia this week about how sparse and low-rank matrices are related to manifolds. Paper: https://users.flatironinstitute.org/~lsaul/pdfs/simods22-nmd.pdf
#machinelearning, #computervision, #ethology, #neuroscience, #ml4science, #inclusivescience. #HHMIJanelia <- #Caltech <- #UCSD <- #Harvard <- San Diego ... #fedi22