This Month |
This Month
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This Month |
The standardization fallacy
“We demand rigidly defined areas of doubt and uncertainty!” —D. Adams
- Bernhard Voelkl
- , Hanno Würbel
- & Naomi Altman
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This Month |
Ling-Ling Chen
Creativity, passion, inclusion and a targeted way to study circular RNAs.
- Vivien Marx
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This Month |
Lin Tian
Neurochemistry sensors for brain research and life with a collaborative frame of mind.
- Vivien Marx
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This Month |
Manu Prakash
Frugally built technology to study the ocean’s microbes, and engineering for societal good.
- Vivien Marx
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This Month |
Uncertainty and the management of epidemics
“I have no idea what’s awaiting me, or what will happen when this all ends. For the moment I know this: there are sick people and they need curing.” ―Albert Camus, The Plague
- Katriona Shea
- , Ottar N. Bjørnstad
- & Naomi Altman
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This Month |
Uri Manor
A new way to see actin in action, hearing as others don’t, and saved by the guitar.
- Vivien Marx
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This Month |
Jana Selent
A platform for exploring GPCR secrets, powered by community, music and sports.
- Vivien Marx
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This Month |
Kaspar Podgorski
A yellow fluorescent sensor to study the brain, and the joy and pain of climbing.
- Vivien Marx
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This Month |
The SEIRS model for infectious disease dynamics
Realistic models of epidemics account for latency, loss of immunity, births and deaths.
- Ottar N. Bjørnstad
- , Katriona Shea
- & Naomi Altman
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This Month |
Hui Yang
A better base editor with fewer off-target changes, from a die-hard Manchester United fan.
- Vivien Marx
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This Month |
Carol Robinson
Identifying things small and large in one mass spec experiment, and why persistence matters.
- Vivien Marx
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This Month |
Modeling infectious epidemics
“Every day sadder and sadder news of its increase. In the City died this week 7496; and of them, 6102 of the plague. But it is feared that the true number of the dead this week is near 10,000 ....” —Samuel Pepys, 1665
- Ottar N. Bjørnstad
- , Katriona Shea
- & Naomi Altman
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This Month |
Ali Ertürk
Analyzing cleared tissue with a deep-learning pipeline, and why dreaming is good for science.
- Vivien Marx
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This Month |
Na Ji
How joy and wide-ranging curiosity leads to neurobiology tools for new types of questions.
- Vivien Marx
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This Month |
Markov models — training and evaluation of hidden Markov models
“With one eye you are looking at the outside world, while with the other you are looking within yourself.” —Amedeo Modigliani
- Jasleen K. Grewal
- , Martin Krzywinski
- & Naomi Altman
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This Month |
Sündüz Keleş
Moving athletically, from Turkey to California to Wisconsin and from engineering to the biostatistics of Hi-C.
- Vivien Marx
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This Month |
Juan C. Caicedo
A machine-learning competition in microscopy and the fun of gazing into the night sky.
- Vivien Marx