Benjamin Machta
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Benjamin B. Machta | |
|---|---|
| Citizenship | United States |
| Alma mater | Cornell University (PhD) Brown University (AB) |
| Known for | Sloppy models and information geometry Membrane criticality Thermodynamic bounds on biological function |
| Awards | Simons Investigator in MMLS (2019) APS DBIO Early Career Award (2025) NIH MIRA Award |
| Scientific career | |
| Fields | Biophysics Condensed matter physics Statistical mechanics |
| Institutions | Yale University Princeton University |
| Doctoral advisor | James Sethna |
| Website | machtagroup |
Benjamin B. Machta is an American theoretical physicist and biophysicist who is an Associate Professor of Physics at Yale University and a member of the Quantitative Biology Institute (QBio).[1][2] His research uses statistical mechanics, information theory, and Riemannian geometry to understand how physical laws constrain the design principles of biological systems.[3]
Education
[edit]Machta received his undergraduate degree in physics from Brown University.[1] He earned his PhD in physics from Cornell University in 2013 under the supervision of James Sethna.[1][4] His doctoral thesis, Criticality in Cellular Membranes and the Information Geometry of Simple Models, explored how high-dimensional models in biology can be reduced to simple, predictive theories using information geometry, and developed models of membrane criticality.[1]
Career
[edit]Following his doctorate, Machta was a Lewis-Sigler Theory Fellow at Princeton University's Lewis-Sigler Institute for Integrative Genomics.[1][5] He joined the Yale faculty in 2018, where he holds appointments in the Department of Physics and the Quantitative Biology Institute.[1][4]
Research
[edit]Sloppy models and information geometry
[edit]During his doctoral work, Machta contributed to the theory of sloppy models, which describes the widespread phenomenon that complex models in science are controlled by relatively few parameter combinations. In a 2013 Science paper, Machta and collaborators showed that parameter space compression underlies the emergence of effective theories and predictive models across physics and biology, providing a geometric explanation—based on the Fisher information metric—for why simple theories can describe complex systems.[6] Earlier work with Transtrum and Sethna established the geometric structure of sloppy model manifolds as "hyper-ribbons" in prediction space.[7][8]
Membrane criticality and biological function
[edit]A major theme of Machta's research is the physics of biological membranes, which experiments have shown operate near a liquid–liquid demixing critical point in the Ising universality class. Machta and collaborators developed minimal models showing that coupling to cortical actin can explain the heterogeneous structure of plasma membranes near criticality.[9] He also showed that proteins embedded in membranes near criticality experience long-range critical Casimir forces, providing a physical mechanism for membrane-mediated protein organization.[10] Further work demonstrated that ion channels can be allosterically regulated by membrane domains near a critical point.[11]
This line of research also connected membrane physics to anesthesia: Machta and collaborators showed that n-alcohol general anesthetics lower critical temperatures in plasma membrane vesicles, and that stabilizing membrane domains antagonizes anesthetic effects, suggesting a physical mechanism linking membrane criticality to anesthetic action.[12]
Thermodynamic bounds on biological systems
[edit]Machta has worked on fundamental bounds that thermodynamics places on biological function. In a 2015 Physical Review Letters paper, he derived a dissipation bound for thermodynamic control, establishing a lower limit on the energy dissipated when driving a small system between states—with implications for the energetics of molecular machines in cells.[13] His group also uses tools from information theory to study how organisms process environmental signals, including work on chemotaxis in bacteria and quorum sensing in Vibrio cholerae.[14]
Cochlear mechanics
[edit]More recently, Machta's group has studied the biophysics of the cochlea, showing that hair cells must tune resonant modes to the edge of instability without destabilizing collective modes in order to achieve the ear's frequency resolution and sensitivity.[15]
Awards and honors
[edit]- NIH Maximizing Investigators' Research Award (MIRA)[4]
- 2019 – Simons Investigator in Mathematical Modeling of Living Systems (MMLS)[3]
- 2023 – Alfred P. Sloan Foundation Matter-to-Life research grant[14]
- 2025 – Early Career Award for Biological Physics Research, American Physical Society Division of Biological Physics, "for creative theoretical work elucidating how physics can both constrain and enable a wide range of biological functions, including intracellular signaling, bacterial chemotaxis, protein condensation on membranes, and thermal sensing in the snake pit organ"[4]
- 2025 – Kavli Innovative Teams Award (with Sviatoslav Bagriantsev), Kavli Institute for Neuroscience at Yale[16]
References
[edit]- ^ a b c d e f "Benjamin Machta". Yale Department of Physics. Retrieved 2026-02-22.
- ^ "Benjamin Machta". Yale School of Medicine. Retrieved 2026-02-22.
- ^ a b "Simons Investigators". Simons Foundation. Retrieved 2026-02-22.
- ^ a b c d "2025 Recipient – DBIO Early Career Award". American Physical Society. Retrieved 2026-02-22.
- ^ "Benjamin B. Machta". Lewis-Sigler Institute, Princeton University. Retrieved 2026-02-22.
- ^ Machta, Benjamin B.; Chachra, Ricky; Transtrum, Mark K.; Sethna, James P. (2013). "Parameter Space Compression Underlies Emergent Theories and Predictive Models". Science. 342 (6158): 604–607. doi:10.1126/science.1238723.
- ^ Transtrum, Mark K.; Machta, Benjamin B.; Sethna, James P. (2010). "Why are nonlinear fits to data so challenging?". Physical Review Letters. 104: 060201. doi:10.1103/PhysRevLett.104.060201.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ Transtrum, Mark K.; Machta, Benjamin B.; Sethna, James P. (2011). "Geometry of nonlinear least squares with applications to sloppy models and optimization". Physical Review E. 83: 036701. doi:10.1103/PhysRevE.83.036701.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ Machta, Benjamin B.; Papanikolaou, Stefanos; Sethna, James P.; Veatch, Sarah L. (2011). "A minimal model of plasma membrane heterogeneity requires coupling cortical actin to criticality". Biophysical Journal. 100: 1668–1677. doi:10.1016/j.bpj.2011.02.007.
- ^ Machta, Benjamin B.; Veatch, Sarah L.; Sethna, James P. (2012). "Critical Casimir forces in cellular membranes". Physical Review Letters. 109 (13): 138101. doi:10.1103/PhysRevLett.109.138101.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ Kimchi, Ofer; Veatch, Sarah L.; Machta, Benjamin B. (2018). "Ion channels can be allosterically regulated by membrane domains near a de-mixing critical point". Journal of General Physiology. 152 (1): e201912474. doi:10.1085/jgp.201912474.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ Machta, Benjamin B.; Gray, Ellyn; Nouri, Mariam; McCarthy, Nicola L. C.; Gray, Erin M.; Miller, Ann L.; Brooks, Nicholas J.; Veatch, Sarah L. (2016). "Stabilizing membrane domains antagonizes n-alcohol anesthesia". Biophysical Journal. 111 (3): 537–545. doi:10.1016/j.bpj.2016.06.039.
- ^ Machta, Benjamin B. (2015). "Dissipation bound for thermodynamic control". Physical Review Letters. 115: 260603. doi:10.1103/PhysRevLett.115.260603.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ a b "Grant Detail: G-2023-19668". Alfred P. Sloan Foundation. Retrieved 2026-02-22.
- ^ Momi, Asheesh S.; et al. (2025). "Hair Cells in the Cochlea Must Tune Resonant Modes to the Edge of Instability without Destabilizing Collective Modes". PRX Life.
- ^ "Rodriguez & Favuzzi, and Bagriantsev & Machta Honored With 2025 Kavli Innovative Teams Awards". Yale School of Medicine. 2025-04-16. Retrieved 2026-02-22.