I am a Cognitive Science PhD student at Indiana University. My current research aims to understand and improve science. I develop formal methods (e.g. computational models) to put the foundations of scientific method to rigorous tests and use insights from cognitive science to better understand the mechanisms of scientific discovery. Some questions that I am currently focusing on:
How to best design a scientific experiment? When collecting new data, should we attempt to confirm our theories, falsify them, resolve theoretical disagreements, or sample the data in a way that is not primarily informed by theory? spoiler from my work: against common intuition, random experiments might help scientists develop more accurate & useful theories than the theory-informed experiments.
Which theory-building strategies facilitate scientific progress? Should we prefer theories that are simple and coherent? spoiler from my work: maybe not! overly complex theories might have some unanticipated generalization benefits.
How can we develop better ontologies for sciences? What epistemic functions do scientific ontologies play? spoiler from my work: it is complicated; reengineering of scientific concepts should take into account the ways in which previous concepts might have affected the evidence.
Apart from these (already way too broad) issues, I am also studying language learning in humans and AI, mechanisms of language evolution, and conceptual influences on perception.
I combine theoretical analyses, behavioral experiments, and computational simulations in my research. I work at the intersection of cognitive science, philosophy of science, complex systems, and artificial intelligence.
When I am not learning or studying learning, I like to play music, sing, travel, conduct clay & glazing studies, work on my bird categorization skills, and attempt to sail away from and back to the marinas without sinking.
I am always enthusiastic to discuss your/my research and ideas. Please, feel free to contact me :)
I am grateful to be supported by these people: Arseny Moskvichev, Polina Greskova, Alexey Filippov, Roman Tikhonov, Vili Hätönen, George Moroz, Grigory Anufriev, Rob Goldstone, Peter Todd, Sabina Sloman, Jamie Michelson, Ella Liu, Denizhan Pak, Ella Liu, Iain Cunningham + many others
November 17-20: participating at the Psychonomic society meeting and presenting a poster "The role of active perception and naming in sameness comparison"
November 9-12: participating at the Philosophy of Science Association, and presenting the (controversial) work "Against theory-motivated experimentation in sciences"
Summer 2022: I am supported by the CNS-NRT summer fellowship
May 2022 - ...: I am co-organizing the Augmented Intelligence Workshop
April 29, 2022: I gave a talk "Against theory-motivated experimentation" at the Pittsburgh Formal Epistemology Workshop
January 21, 2022: our (with R. Goldstone) work showing unequal influences of categories on the color perception of simultaneously present objects is published in Cognition
December 30, 2021: my (solo-author!) review paper on building human-like communicative AI is published in Cognitive Systems Research
December 28, 2021: I am awarded with IU Cognitive Science supplemental fellowship
September 13, 2021: I successfully defended my PhD qualification papers:)
August 22, 2021: I submitted two PhD qualification papers to IU cognitive science program! The papers are on 1) making progress in cognitive science and 2) grounded language learning in AI.
July 26-29, 2021: I am presenting a poster "Categories affect color perception of only some simultaneously present objects" at the Cognitive Science Society conference.
July 21, 2021: I am giving an invited talk "Growing opportunities to grow: towards a model of open-ended communication learning" at the Social Learning and Cultural Evolution workshop
July 18 - July 23, 2021: I am participating at my favorite ALIFE conference, where I am presenting some preliminary results on modeling open-ended communication learning in groups!
June 14 - July 2, 2021: I am participating at the SFI Complexity Interactive summer school! Our group project is called "Mapping Complexity: An Epistemological Look at Methods of Study & Discovery"
June 1 - August 23, 2021: I am supported by the CNS-NRT summer fellowship
May 21, 2021: my very first journal paper "The Influences of Category Learning on Perceptual Reconstructions" got published in the Cognitive Science journal!
March 26, 2021: I gave an invited talk "Categorical Perception Meets El Greco" at the HSE Cognitive Research Lab Meeting
Sept 17 - Sept 25, 2020: I am presenting our work "The Influences of Category Learning on Perceptual Reconstructions" at the 61st Annual Meeting of the Psychonomic Society: check out our poster here!
Sept 17 - Sept 25, 2020: Presenting our work "Reinforcement Communication Learning in Different Social Network Structures" at NetSci!
July 29 - Aug 1, 2020: Participating at CogSci annual conference!
July 18, 2020: Presenting our work "Reinforcement Communication Learning in Different Social Network Structures" at ICML Language and Reinforcement Learning workshop!
July 16, 2020: I'm presenting the work "Effects of Supervision, Population Size, and Self-Play on Multi-Agent Reinforcement Learning to Communicate" at ALIFE conference (feel free to join the discussion!)
July 13 - July 18, 2020: I am participating at ALIFE and ICML conferences!
June 22 – July 3, 2020: I will attend SINSA2020 (won fee remission by IUNI-SINSA Scholars program)
June 14 – July 10, 2020: I will attend the Complex Systems Summer School at Santa Fe Institute (whoa!)
March 12 – .... 2020: I am isolating at home, drinking tea, and working *very productively*
March 1 – March 3, 2020: I gave a talk on the mechanisms of categorical perception at Emory University, Georgia (Mechanisms of Learning Forum)