Max Tegmark

Max Tegmark
Department:  Physics

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Max Tegmark Tegmark is a Professor of Physics at MIT. His research has ranged from cosmology to the physics of cognitive systems, and is currently focused at the interface between physics, AI and neuroscience. 

A native of Stockholm, Tegmark left Sweden in 1990 after receiving his B.Sc. in Physics from the Royal Institute of Technology (he’d earned a B.A. in Economics the previous year at the Stockholm School of Economics). His first academic venture beyond Scandinavia brought him to California, where he studied physics at the University of California, Berkeley, earning his Ph.D. in 1994.

After four years of west coast living, Tegmark returned to Europe and accepted an appointment as a research associate with the Max-Planck-Institut für Physik in Munich. In 1996 he headed back to the U.S. as a Hubble Fellow and member of the Institute for Advanced Study, Princeton. Tegmark remained in New Jersey for a few years until an opportunity arrived to experience the urban northeast with an Assistant Professorship at the University of Pennsylvania, where he received tenure in 2003. He extended the east coast experiment and moved north of Philly to the shores of the Charles River (Cambridge-side), arriving at MIT in September 2004. He is married to Meia-Chita Tegmark and has two sons, Philip and Alexander.

Tegmark is an author on more than 200 technical papers, ranging from the physics of cognitive systems to precision cosmology and the ultimate nature of reality, all explored in his popular book "Our Mathematical Universe”. He has featured in dozens of science documentaries and has received numerous awards for his research, including a Packard Fellowship (2001-06), Cottrell Scholar Award (2002-07), and an NSF Career grant (2002-07), and is a Fellow of the American Physical Society. His work with the SDSS collaboration on galaxy clustering shared the first prize in Science magazine’s "Breakthrough of the Year: 2003.

For more on his research, publications, and students, or his fun articles, goofs, and photo album, please visit Personal home page.

Room:  MIT Bldg. 37, Rm. 37-626B

Past Advisees

Nima Dehghani - Senior Postdoctoral Associate
Luis Seoane - Postdoc


CBMM Publications

S. - M. Udrescu, Tan, A., Feng, J., Neto, O., Wu, T., and Tegmark, M., AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity, in Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020.
H. Lin and Tegmark, M., Why does deep and cheap learning work so well?, Journal of Statistical Physics, vol. 168, no. 6, pp. 1223–1247, 2017.