{"id":134448,"date":"2026-02-27T11:15:35","date_gmt":"2026-02-27T16:15:35","guid":{"rendered":"https:\/\/www.simonsfoundation.org\/?page_id=134448"},"modified":"2026-02-27T11:17:35","modified_gmt":"2026-02-27T16:17:35","slug":"statistical-biophysics","status":"publish","type":"page","link":"https:\/\/www.simonsfoundation.org\/flatiron\/center-for-computational-biology\/statistical-biophysics\/","title":{"rendered":"Statistical Biophysics"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":21,"featured_media":0,"parent":104,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/flatiron_group_landing.php","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-134448","page","type-page","status-publish","hentry"],"acf":{"block_editor":[{"acf_fc_layout":"text","text":"The Statistical Biophysics group currently focuses on dynamics and statistical properties of information processing networks, encompassing biochemical networks in cells, neural circuits in the brain and modern artificial neural networks (ANNs) used in machine learning. Key directions include:\r\n1)\tDynamics of biological networks: investigating the dynamics of biochemical networks involved in signal transduction, adaptation and synchronization, as well as neural networks responsible for encoding, computation and learning. \r\n\r\n2)\tInference of biological networks: reverse engineering the underlying biochemical networks (structure and dynamics) of functional biological networks from experimental data based on machine learning methods.   \r\n\r\n3)\tEnergetic costs of information processing: exploring how physical constraints on energy dissipation shape molecular mechanisms in biology and guide the design of efficient learning algorithms.\r\n\r\n4)\tStatistical physics of deep learning: aimed at understanding the mechanisms behind how ANNs learn and generalize and comparing these processes to learning and computation in real neural systems.\r\nThis research is carried out in collaboration with the Center for Computational Neuroscience, whose research focus on information processing in biological networks emphasizes biological and artificial neural networks. \r\n"}]},"_links":{"self":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/134448"}],"collection":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/comments?post=134448"}],"version-history":[{"count":3,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/134448\/revisions"}],"predecessor-version":[{"id":134451,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/134448\/revisions\/134451"}],"up":[{"embeddable":true,"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/pages\/104"}],"wp:attachment":[{"href":"https:\/\/www.simonsfoundation.org\/wp-json\/wp\/v2\/media?parent=134448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}