Rishi Sreedhar
Quantum Curious | Tensor Network Algorithms researcher at SandBoxAQ
Starter Packs
Created by Rishi Sreedhar (2)
QuantumSky_II
Part II of the incomplete list of quantum people on Bluesky as the other one is full
QuantumSky
A very incomplete list of quantum people on Bluesky
@iopp-quantum.bsky.social
The official Bluesky account for all things quantum with IOP Publishing. Join our community and stay connected with the latest research, news, and updates in quantum science and technology. Explore our quantum hub here: https://shorturl.at/0kYxX
@juanfrh.bsky.social
Quantum Algorithm Engineer @ Kipu Quantum Quantum Computing Team Lead @ bqb Quantum Youth https://linktr.ee/juanfrh
@pastelbio.bsky.social
Pastel BioScience | t.ly/y4tAy Proteomics conferences here >>> t.ly/GSBz- Proteomics databases and scripts here >>> t.ly/iNYXg
@fhi-aims.bsky.social
This is the BlueSky presence of the FHI-aims electronic structure code - https://fhi-aims.org/ . FHI-aims is a community-based electronic structure code for materials and molecules, efficient, all-electron, up to very large systems.
@dangaristo.bsky.social
science journalist | good physics, bad physics, and sometimes ugly physics Signal: dgaristo.72 Email: digaristo@gmail.com
@optophysakhil.bsky.social
💡Investigating clinically relevant classical and quantum optics techniques and devices 🥼Biophotonics and biomedical optics 📍Dept. of Biomedical Engineering, @UniStrathclyde.bsky.social👨🏻🔬 🗞️Research team updates @KallepalliLab.bsky.social 🤝
@quantumquia.com
Quantum physicist with a focus on the fundamental aspects of the theory. Blog at www.quantumquia.com
@ardyvanf.bsky.social
MIT PhD, now Postdoc at Columbia Center For Computational Electrochem I study how materials work using computational and mathematical methods. ardavanfarahvash.com
@ajras.bsky.social
Husband. Dad. Researcher | NRC Postdoctoral Research at NIST Ion Storage | Open Source Quantum.
@lmanderson.bsky.social
physics undergrad, computational quantum physics lover, software developer, cat guardian, and MCU stan
@grageragarces.bsky.social
Building distributed quantum systems Grad student in quantum @Uni of Edinburgh Previously: IBM Q & Cisco R&D Also find me in : https://linktr.ee/grageragarces
@curlyqubit.bsky.social
🇲🇹 📍🇦🇹 // PhD student thinking thermodynamically @quitphysics.info // Founder @qalypsoschool // Startups, music and running elsewhere in spacetime.
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@quantum-journal.bsky.social
@rpeverati.bsky.social
Associate Professor of Computational and Theoretical Chemistry – Florida Institute of Technology
@quant-nik.bsky.social
Graduate student at DCS, Warwick. Statistically close to a quantum explorer
@digital-discovery.rsc.org
A new #GoldOA journal from @roysocchem.bsky.social, meeting the trend towards greater automation and data-driven scientific techniques head-on. Led by EiC Alan Aspuru-Guzik 🌐 Website: rsc.li/digitaldiscovery-journal Published by @rsc.org
@piermorgante.bsky.social
#MachineLearning editor at @iopp-mlresearch.bsky.social (@ioppublishing.bsky.social). Theoretical chemist. LEGO fan. #DFT #compchem #chemistry #DogsofCompChem #Quantum Proud member of #ChemSky Personal+work account (all views my own) 📍Buffalo, NY
@neuralreckoning.bsky.social
Computational neuroscientist at Imperial College. I like spikes and making science better (Neuromatch, Brian spiking neural network simulator, SNUFA annual workshop on spiking neurons). 🧪 https://neural-reckoning.org/ 📷 https://adobe.ly/3On5B29
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@jermainkaminski.bsky.social
Assistant Professor in Entrepreneurship & Innovation 🇳🇱 Maastricht University. Writing about entrepreneurs and (causal) machine learning. UWH, RWTH, MIT. Co-Founder http://causalscience.org, Team @AOM_TIM.
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@steveberry.bsky.social
Empirical study of firms and markets, including models used for policy analysis. Yale Econ, Cowles, and faculty director of the Tobin Center.
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@fusaroli.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
@djvanness.bsky.social
Economist; professor; health evaluation and decision science. Advocate for high quality, affordable higher education as a public good. Personal views. #AcademicSky #EconSky #Bayesian https://orcid.org/0000-0002-9790-2988
@prashantgarg.bsky.social
Econ PhD @imperial. Visiting researcher at IFC and Cambridge. AI and networks in economics. www.prashantgarg.org
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@lstoetze.bsky.social
Professor for Quantitative Methods. Witten/Herdecke University. Interested in comparative political behavior and quantitative methods. https://lukas-stoetzer.org
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@boryslaw.bsky.social
Intro to causal inference for psychologists: https://czasopisma.uwm.edu.pl/index.php/pp/article/view/9731/7171 A causal-theoretic definition of measurement invariance (see p. 14): + A new ordinal regression family https://osf.io/preprints/psyarxiv/e7a3x
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@jnwulff.bsky.social
Professor @AarhusUni doing research on organizational research methods and teaching deep neural networks in our Msc. BI program. https://sites.google.com/view/jesperwulff/bio
@ykims.bsky.social
Education researcher interested in causal inference & DAGs | Seoul National University
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI