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Lee Altenberg
Born
Lee Altenberg
NationalityAmerican
Alma mater University of California, Berkeley
Known forThe evolution of evolvability
The Reduction Principle
AwardsOnipa`a Award (2011)
Scientific career
Fields Evolutionary Theory
Population genetics
Linear Algebra
Institutions University of Hawaiʻi at Mānoa
Konrad Lorenz Institute
Duke University
Ronin Institute
Thesis A Generalization of Theory on the Evolution of Modifier Genes (1984)
Doctoral advisor Marcus W. Feldman [1]
Other academic advisorsGlenys Thomson
Website dynamics.org/Altenberg/

Lee Altenberg is an American theoretical biologist. He is on the faculty of the Departments of Information and Computer Sciences and of Mathematics at the University of Hawaiʻi at Mānoa. He is best known for his work that helped establish the evolution of evolvability and modularity in the genotype–phenotype map as areas of investigation in evolutionary biology, [2] [3] for moving theoretical concepts between the fields of evolutionary biology and evolutionary computation, [4] [5] [6] and for his mathematical unification and generalization of modifier gene models for the evolution of biological information transmission, putting under a single mathematical framework the evolution of mutation rates, recombination rates, sexual reproduction rates, and dispersal rates. [7] [8]

Altenberg is an Associate Editor of the journal BioSystems, and serves on the Editorial Boards of the journals Genetic Programming and Evolvable Machines and Artificial Life, and on the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems. [9]

Education

Altenberg received his B.A. in genetics in 1980 at the University of California, Berkeley with an honors thesis advised by Glenys Thomson on the theory of frequency-dependent selection. [10] He received his Ph.D. in Biological Sciences in 1985 at Stanford University with advisor Marcus W. Feldman with a dissertation that unified models of modifier gene evolution. [11]

Career

Altenberg held postdoctoral fellowships at Stanford University, North Carolina State University, and Duke University. While a postdoctoral fellow at Duke University, Altenberg offered the first course on evolutionary computation to be given there. When his father became ill with cryoglobulinemia, he moved with him to Hawaii for the warm temperatures. [12] In 2002 Altenberg was appointed associate professor of Information and Computer Sciences at the University of Hawaiʻi at Mānoa. He again offered the first courses in evolutionary computation to be given there. In 2013 Altenberg was a Long-Term Visitor at the Mathematical Biosciences Institute at Ohio State University and in 2014-2016 was a Senior Fellow at the Konrad Lorenz Institute for Evolution and Cognition Research. The University of Hawaiʻi Board of Regents approved his promotion to Full Professor in 2020. [13] Since 2013, Altenberg has been a Research Scholar at the Ronin Institute. [14] [15]

Research

Altenberg's research focuses on uncovering the mathematical relationships within the dynamics of biological evolution, and evolutionary algorithms. He is particularly interested in higher order phenomena such as the evolution of evolvability, the evolution of genetic information transmission, and the evolution of the genotype–phenotype map. His chief accomplishments have been (1) to unify the theory for the evolution of genetic systems (recombination and mutation rates) by embedding them in the space of inclusive inheritance, which includes spatial as well as cultural information, and (2) to develop the concept of the variational properties of organisms as phenomena subject to evolutionary dynamics. This includes the discovery of mechanisms that lead to the evolution of evolvability, and modularity in the genotype–phenotype map. [16] [7]

The mathematical inclusiveness of his theoretical work has made it applicable to problems in evolutionary computation. [8] His work on the evolution of biological information transmission has required development of new spectral theorems for linear operators, including a unification of reaction-diffusion theory predicting the evolution of slow dispersal with the Reduction Principle predictions for models of mutation, recombination and migration rate evolution. [17] He has applied spectral theory to understand the evolution of mutational robustness. [18]

Altenberg introduced a number of concepts which have been adopted in several fields:

  • introduction of the Price equation into evolutionary computation theory [16] [19]
  • mechanisms for the evolution of evolvability and modularity [16] [20] [21] [22] [23]
  • the conceptual distinction of generative and variational properties of the genotype–phenotype map [22] [24]
  • brood selection in evolutionary algorithms [16] [25]
  • generalization of Stuart Kauffman's NK Landscapes, [20] applied to technological evolution [26]
  • generalization of the Reduction Principle to infinite dimensional spaces, which unified reaction-diffusion models for the evolution of dispersal, [17] and has been applied to epidemic models. [27]

Environmental and societal work

Awards and honors

Professional societies

Altenberg is a lifetime member of the:

External links

References

  1. ^ Lee Altenberg at the Mathematics Genealogy Project Edit this at Wikidata
  2. ^ Baraniuk, Chris (2 March 2017). "Life may actually be getting better at evolving". BBC Earth. Retrieved 14 September 2019.
  3. ^ Nuño de la Rosa, Laura (2017). "Computing the Extended Synthesis: Mapping the Dynamics and Conceptual Structure of the Evolvability Research Front". Journal of Experimental Zoology Part B: Molecular and Developmental Evolution. 328 (5): 395–411. doi: 10.1002/jez.b.22741. PMID  28488750. S2CID  22229072.
  4. ^ Charles W. Petit (27 July 1998). "Touched by nature: Putting evolution to work on the assembly line". Genetic Programming. U.S. News & World Report. Retrieved 19 September 2019.
  5. ^ Lee Altenberg (2016). Kliman, Richard M. (ed.). Encyclopedia of Evolutionary Biology. Elsevier. pp. 40–47. ISBN  9780128000496.
  6. ^ a b Rudolf Seising; Lee Altenberg (6 April 2018). "Interview with Lee Altenberg, 2017: CIS Oral History Project" (Video). IEEE Computational Intelligence Society. Honolulu, Hawai`i: IEEE. Retrieved 16 September 2019. An interview with CIS member Lee Altenberg, recorded at the 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). Interview by Rudolf Seising.
  7. ^ a b c "Fellows Lee Altenberg". Konrad Lorenz Institute. KLI. Retrieved 16 September 2019.
  8. ^ a b "Lee Altenberg Biography". 2017: CIS Oral History Project. IEEE.TV. Retrieved 15 September 2019.
  9. ^ "Task Force on Artificial Life and Complex Adaptive Systems". binghamton.edu. Retrieved 18 September 2019.
  10. ^ Altenberg, Lee (1991). "Chaos from Linear Frequency-Dependent Selection". American Naturalist. 138 (1): 51–68. doi: 10.1086/285204. S2CID  84389673.
  11. ^ Altenberg, Lee (1984). A Generalization of Theory on the Evolution of Modifier Genes. Stanford University: University Microfilms. p. 237. CiteSeerX  10.1.1.187.5507.
  12. ^ Dike, Dr. Diane (22 February 2013). "Dad's Journey with Cryoglobulinemia, Dr. Lee Altenberg" (Video). Blog Talk Radio. Eagle, CO 81631. Retrieved 19 September 2019.{{ cite web}}: CS1 maint: location ( link)
  13. ^ "UH 2020 tenure and promotion list". University of Hawaiʻi News. University of Hawaiʻi. June 22, 2020. Retrieved 28 July 2020.
  14. ^ "Lee Altenberg's Web Home Page". dynamics.org. Retrieved 2021-03-21.
  15. ^ "Research Scholar profile at the Ronin Institute". Ronin Institute. Retrieved 2021-03-21.
  16. ^ a b c d Lee Altenberg (1994). Kinnear, Kenneth (ed.). The Evolution of Evolvability in Genetic Programming. Cambridge, MA: MIT Press. pp. 47–74. ISBN  9780262515535.
  17. ^ a b Altenberg, Lee (2012). "Resolvent Positive Linear Operators Exhibit the Reduction Phenomenon". Proceedings of the National Academy of Sciences. 109 (10): 3705–3710. arXiv: 1108.4546. Bibcode: 2012PNAS..109.3705A. doi: 10.1073/pnas.1113833109. PMC  3309728. PMID  22357763.
  18. ^ Altenberg, Lee (2015). "Fundamental Properties of the Evolution of Mutational Robustness". p. 1508.07866. arXiv: 1508.07866 [ q-bio.PE].
  19. ^ Altenberg, Lee (1995). Whitley, Darrell L.; Vose, Michael D. (eds.). The Schema Theorem and Price's Theorem. San Mateo, CA: Morgan Kaufmann. pp. 23–49. ISBN  978-1-55860-356-1. Retrieved 24 November 2019.
  20. ^ a b Altenberg, Lee (1994). "Evolving better representations through selective genome growth". Proceedings of the First IEEE Conference on Evolutionary Computation IEEE World Congress on Computational Intelligence ICEC-94. Vol. 1. pp. 182–187. doi: 10.1109/ICEC.1994.350019. ISBN  0-7803-1899-4. S2CID  5140043.
  21. ^ Altenberg, Lee (1994). Sebald, A.V. (ed.). Emergent phenomena in genetic programming. World Scientific Publishing. pp. 233–241. ISBN  9810218109.
  22. ^ a b Altenberg, Lee (1995). "Genome growth and the evolution of the genotype–phenotype map". In Banzhaf, Wolfgang; Eeckman, Frank H. (eds.). Evolution and Biocomputation: Computational Models of Evolution. Lecture Notes in Computer Science. Vol. 899. Berlin; New York: Springer-Verlag Berlin Heidelberg. pp. 205–259. doi: 10.1007/3-540-59046-3_11. ISBN  978-3-540-59046-0. S2CID  10378755.
  23. ^ Wagner, Günter P.; Altenberg, Lee (June 1996). "Complex Adaptations and the Evolution of Evolvability". Evolution. 50 (3): 967–976. doi: 10.1111/j.1558-5646.1996.tb02339.x. ISSN  0014-3820. PMID  28565291. S2CID  21040413.
  24. ^ Armbruster, W Scott (2014). "Integrated phenotypes: understanding trait covariation in plants and animals". Philosophical Transactions of the Royal Society B: Biological Sciences. 369 (1649): 20130245. doi: 10.1098/rstb.2013.0245. PMC  4084533. PMID  25002693.
  25. ^ Uy, Nguyen Quang (2011). "Semantically-based crossover in genetic programming: application to real-valued symbolic regression" (PDF). Genetic Programming and Evolvable Machines. 12 (2). Springer: 91–119. doi: 10.1007/s10710-010-9121-2. hdl: 10197/3528. S2CID  901032.
  26. ^ Johann Peter Murmann; Koen Frenken (2006). "Toward a systematic framework for research on dominant designs, technological innovations, and industrial change" (PDF). Research Policy. 35 (7). Elsevier: 925–952. doi: 10.1016/j.respol.2006.04.011. hdl: 1874/387421. S2CID  10623052. Archived from the original (PDF) on 2019-09-21.
  27. ^ Gao, Daozhou; Dong, Chao-Ping (2020). "Fast diffusion inhibits disease outbreaks". Proceedings of the American Mathematical Society. 148 (4): 1709–1722. arXiv: 1907.12229. doi: 10.1090/proc/14868. S2CID  198968008.
  28. ^ Altenberg, Lee (1990). "Beyond Capitalism: Leland Stanford's Forgotten Vision". Sandstone and Tile. 14 (1). Stanford, California: Stanford Historical Society: 8–20. Retrieved 16 September 2019.
  29. ^ Schott-Rosenfield, Abigail (23 December 2014). "History Corner: Leland Stanford's vision of Stanford". Stanford Daily. Retrieved 14 September 2019.
  30. ^ a b Hurley, Timothy (24 January 2002). "Maui star-lovers want dark skies". Honolulu Advertiser. Retrieved 14 September 2019.
  31. ^ a b San Nicolas, Claudine (16 May 2007). "1,400-unit Maui project comes under attack". Maui News. Retrieved 16 September 2019.
  32. ^ "Hawai'i Pandemic Applied Modeling Workgroup". HiPAM. Retrieved 25 May 2022.
  33. ^ a b c d Altenberg, Lee. "Curriculum vitae". dynamics.org. Retrieved 16 September 2019.
  34. ^ "DLNR chief to speak at Sierra Club annual meeting". Lahaina News. Retrieved 14 September 2019.
  35. ^ "FQXi Membership". Foundational Questions Institute. Retrieved 21 April 2020.