Data Scientist at IDinsight
Joined January 2013
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Poornima Ramesh retweeted
🔍 How can social sector leaders access decision-relevant data faster?
One way is with Ask-A-Metric (AAM), a tool built by @IDinsight to help reduce technical barriers to data access and use.
Join us with co-hosts Project Tech4Dev and @KabakooLabs for a dynamic #LLMsInSocialSector webinar, where IDinsight will discuss the technology behind AAM and share learnings on building AI-powered tools.
📅 Thursday, June 13, 2024
🎦 Zoom
Register for the event so you don’t miss this: lu.ma/askametric
#GenAI #SocialImpact
Poornima Ramesh retweeted
#AI is increasingly being relied upon by decision-makers because the technology has proven efficiencies. But for decisions to be unbiased, accurate and equitable, the data used to train ML models must be high-quality and representative.
As our teams blaze the trail for AI use in the social sector, we are cognizant of these challenges and are committed to creating and maintaining equitable machine learning models. 🔗 Learn more: idinsight.org/publication/hu…
Interested in using machine learning to amplify your organisation's impact? IDinsight can support the entire life cycle of model development and deployment - learn about our work and contact our team: idinsight.org/methodology/da…
Poornima Ramesh retweeted
#Top5blogs NUMBER 4️⃣: You’ve planned your research design, assigned schools to treatment and control groups, conducted data collection, and are ready to dive in and clean your data set -- only to realize your research design HASN’T been followed! What do you do? Start over? Or can you still learn something useful about the intervention?
In their blog, our team Jeff (@jefferyjmcmanus), Michael (@MichaelSebele), Mtise shares how they dealt with such a situation and generated meaningful insights despite having their #RCT design upended!
🔗 Read the blog here: idinsight.org/article/genera…
Poornima Ramesh retweeted
🥁 As we kick off 2024, we are sharing our 5 most-read #blogs from last year! 🥁
NUMBER 5️⃣ ~ Satellite imagery combined with AI can help make important predictions for #globaldev practitioners, for example, of forest cover or population census information. #MOSAIKS, created by Esther Rolf (@rolf_comma_e) and colleagues, allows any user to enter GPS coordinates and extract satellite imagery information. In this blog, IDinsight's Data Science and Engineering Team shares how they extended the tool (and open-sourced the package) to speed it up, add features for #Kenya and #India, and look at specific time periods and/or resolutions. #AIforGood
🔗 Read the blog: idinsight.org/article/mosaik…
🔗 Delve into our 2023 Year in Review and read about the impactful work done by our Data Science and Engineering Team: year-in-review.idinsight.org…
@pramesh95 @amiiremami @sid_ravinutala
Poornima Ramesh retweeted
Over the years my lab has been working on #meta_learning #plasticity rules in #spiking networks. Here's progress report on how far we can get using a twist on simulation based inference (fSBI), presented at @NeurIPSConf (#405) w/ @basile_cfx, @pramesh95 @ppjgoncalves & @jakhmack.
Tx Patrick, great community service! We got something on #meta_learning ensembles of (EE, EI, II & IE) #plasticity rules in large #spiking networks using simulation based #inference with @jakhmack @basile_cfx @pramesh95 & @ppjgoncalves. Tweeprint coming. openreview.net/forum?id=FLFa…
Poornima Ramesh retweeted
Just quick: Hugely excited to be given the chance to work on a new project (more details soon) on building network models of large-scale neural computations. Many thanks to the fantastic @mackelab @ml4science, @srinituraga + @lappalainenjk for the joint work on which this builds!
📢 The results of the 2022 ERC Consolidator Grant competition are out: €657 million for 321 researchers.
Who has been offered funding?
What topics they will investigate?
Where will they do their research?
Discover the details ➡️ bit.ly/ERCCoG2022Results
🇪🇺#EUfunded #ERCCoG
Poornima Ramesh retweeted
🔔It’s Neural Ratio Estimation (NRE) time🎄! We are happy to announce that two new NRE methods have been contributed to the SBI toolkit: Many thanks to
@bkmi13 for contributing Contrastive NRE, and to
@ArnaudDelaunoy for contributing Balanced NRE. 🕯️/ 4
Poornima Ramesh retweeted
Stoked to share my first #NeurIPS2022 paper.
"Efficient Identification of informative features in SBI"
arxiv.org/abs/2210.11915
w. @deismic_, @yvesbernaerts, @jakhmack, @CellTypist
@ml4science
We use NLE to efficiently identify how features constrain posteriors in SBI. (1/8)
Poornima Ramesh retweeted
Our preprint "Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes" is on @arxiv! This is one of the outcomes of a cooperation we (@sethaxen @alpiges @alvorithm) are currently running with @sommer_geo and Nils Weitzel!
arxiv.org/abs/2211.08160
ALT Overview of data and consensus model presented in the paper. Multiple spatiotemporally gridded simulations are combined with reconstructions from fossilized pollen proxies to construct a consensus model. While the data are discrete in space and time, the consensus model is continuous in both space and time, and at any spatiotemporal point, the marginal posterior distribution of temperature can be queried.
Poornima Ramesh retweeted
📢 We just released a new sbi version with many improvements and several new features: a SNPE-method that avoids “leakage”, expected coverage tests, and embedding networks that allow iid data for SNPE 🧵 1/6
Poornima Ramesh retweeted
Can circuits generate functional, energy-efficient, and temperature-robust neural activity with widely disparate sets of membrane and synaptic conductances? Check it out in our latest work, now out @PNASNews pnas.org/doi/10.1073/pnas.22…! By @deismic_ @jakhmack @ppjgoncalves
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Poornima Ramesh retweeted
Now in final form, many congrats to @deismic_ , and to @ppjgoncalves for his first last-author paper! This paper benefited greatly from peer review: it was first rejected post peer review from @elife — sure that hurt but the reasons were understandable and highly constructive.
Can circuits generate functional, energy-efficient, and temperature-robust neural activity with widely disparate sets of membrane and synaptic conductances? Check it out in our latest work, now out @PNASNews pnas.org/doi/10.1073/pnas.22…! By @deismic_ @jakhmack @ppjgoncalves
Poornima Ramesh retweeted
Dear #neurotwitter, we dropped this onto @biorxiv_neursci for your perusal. It's an unusual piece from my lab & I really, really enjoyed working on it with @chc1987. Here it is: Metabolically spikes serve neuronal energy homeostasis (and protect neurons). doi.org/10.1101/2022.10.16.5…
Poornima Ramesh retweeted
(2/2) Bring your skills to the test and try to classify crops across agricultural fields in Northern India! Know someone who’d be interested in the challenge? Tag them in the comments!
🗓Competition closes on October, 31. bit.ly/3DMea2a
Poornima Ramesh retweeted
it's got human single units, theta oscillations, phase coding, and RNNs - what more could you want???
I don’t remember what life was like before starting this project years ago, but somehow our brains track the order of events well. How? See our paper on spike phase coding in human MTL and RNNs with J.Niediek @matthijs_pals @mackelab @humansingleunit biorxiv.org/content/10.1101/… 1/5
Poornima Ramesh retweeted
Preprint: @steliebe J Niediek et al @humansingleunit recorded 100s of single units in humans, found funky firing during memory tasks. @matthijs_pals task-trained RNNs which exhibit similar patterns and point to potential mechanisms. (Also, cameos by the 👸 and Stable Diffusion.)
I don’t remember what life was like before starting this project years ago, but somehow our brains track the order of events well. How? See our paper on spike phase coding in human MTL and RNNs with J.Niediek @matthijs_pals @mackelab @humansingleunit biorxiv.org/content/10.1101/… 1/5
Poornima Ramesh retweeted
I don’t remember what life was like before starting this project years ago, but somehow our brains track the order of events well. How? See our paper on spike phase coding in human MTL and RNNs with J.Niediek @matthijs_pals @mackelab @humansingleunit biorxiv.org/content/10.1101/… 1/5
Poornima Ramesh retweeted
Wondering how wiggly RNNs do wiggly computations? Dont miss @matthijs_pals talk at @neuromatch #nmc22 on -- joint work with @steliebe @_rdgao and Omri Barak!
The brain can encode information in the phase of oscillations. Want to find out how recurrent neural networks, popular models of neural processing, do this? Watch a short recorded talk by @matthijs_pals at #nmc22 reddit.com/r/neuromatch/comm…
-Co-supervised by Omri Barak
Poornima Ramesh retweeted
The brain can encode information in the phase of oscillations. Want to find out how recurrent neural networks, popular models of neural processing, do this? Watch a short recorded talk by @matthijs_pals at #nmc22 reddit.com/r/neuromatch/comm…
-Co-supervised by Omri Barak
Elegant and blazingly fast work (from the authors, and the method too)!
Simulation-based inference (SBI) has accelerated model-building across many disciplines. It’s also useful for studying cognition: We present Mixed Neural Likelihood Estimation, an SBI method tailored to models of decision-making! By @janfiete @janmatthis @_rdgao @jakhmack
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