Richard George

scientist, executive, entrepreneur, creator of AI products

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Creating AI businesses to benefit society

Richard's first career was as a research scientist (PhD bioinformatics), working in academia and early stage biotech. Following an MBA and a short stint in life-science venture capital investing, he started his second career in strategy consulting and co-founded a $100M+ AI start-up. Richard now combines his skills and knowledge to build AI products and new businesses that will greatly benefit society. Richard holds an MBA from the AGSM in Sydney and Tuck School of Business at Dartmouth College, and a PhD from the National Institute of Medical Research. He is a published author in academic peer-reviewed journals; a founding partner of a drug discovery start-up and a fitness studio; and a budding photographer and artist. See full bio.

Advising the UK government on the impact of emerging tech on the workforce

Faethm AI

Faethm's AI SaaS platform models the evolution of work brought about by the disruptive effects of emerging technology. Faethm helps governments and companies prepare their workforce for the future. Richard was co-founder and Chief Data Scientist. Faethm AI (acquired by Pearson Plc in 2021)

Aiquist AI

Aiquist AI

Aiquist helps business leaders understand their economic, environmental and societal impact through the power of AI (now closed).

monitor my health

Monitor My Health

MMH is an IoT-AI start-up providing situational awareness to allow individuals to regain their independence and have confidence in at-home care. Richard is a strategic advisor to, and investor in, MMH (in stealth mode).

drug discovery

Orphan AI

Orphan AI is a drug-discovery biotech for the development of novel therapeutics to address genetic diseases. Based on Richard's research and proprietary IP. Richard is the founder of Orphan AI (activities paused).

monitor my health

PureSpin Indoor Cycle Studio

The best high intensity interval training in Sydney. Closed 2014.

Media

Awards / Fellowships / Degrees

Awards

  • Australian Advanced-analytics and AI Leader - SWAMY & ASSOCIATES 2020
  • Analytics Leader, IAPA 2019
  • ICT Professional of the year, ACS 2018 WINNER GOLD DISRUPTER AWARD
  • Best New Disruptive Tech Platform for Faethm, ACS 2018 WINNER GOLD DISRUPTER AWARD
  • Tech Rocketship Award for AI and Data Revolution UK DIT, WINNER 2018
  • Australian Advanced-analytics, AI and ML Leader, SWAMY & ASSOCIATES 2018
  • Kauffman Fellow Finalist 2011

Fellowships

  • Research Fellow, Macquarie University, AI-enabled Processes Research Centre, 2019-
  • Senior Postdoctoral Fellow, Victor Chang Cardiac Research Institute, University New South Wales, Australia 2005-2007
  • Postdoctoral Fellow, European Bioinformatics Institute, Cambridge UK 2002-2005

Degrees

  • Master of Business Administration, AGSM at UNSW / Tuck School of Business at Dartmouth College, 2009
  • PhD Bioinformatics, National Institute for Medical Research / University College London, 2002
  • BSc 2.1 Hons Molecular Biology, University College London, 1998


Research Publications

Evolution of work:

  • Sobhanmanesh F, Beheshti A, Nouri N, Monje Chaparro N, Raj S, George RA (2023) A Cognitive Model for Technology Adoption. Algorithms 16(3): 155
  • Strack R, Carrasco M, Kolo P, Fink T, Nouri N, Priddis M, George RA (2021) The Future of Jobs in the Era of AI. BCG Publication
  • Ghafari SM, Nichol R, George RA (2020) Augmenting Resource Allocation Techniques for the Management of ICU Beds During COVID-19 Pandemic. 10th International Conference on Computer Science, Engineering and Applications
  • George RA, Bowles M, Nouri N, Bhargava R (2020) Robot-proof Work Capabilities. Integration and Application of Business Graduate and Business Leader Competency-Models. IGI Global
  • Priddis M, Miller G, George RA (2020) Technology impacts on the Australian workforce. Australian Computer Society Publications

Drug and drug target identification:

  • Grover MP, Ballouz S, Mohanasundaram KA, George RA, Goscinski A, Crowley TM, Sherman CD and Wouters MA (2015) Novel therapeutics for coronary artery disease from genome-wide association study data. BMC Med Genomics 8 (Suppl 2), S1.
  • Grover MP, Ballouz S, Mohanasundaram KA, George RA, Sherman CD, Crowley TM and Wouters MA (2014) Identification of novel therapeutics for complex diseases from genome-wide association data. BMC Med Genomics 7 (Suppl 1), S8.
  • Ballouz S, Liu JY, George RA, Bains N, Liu A, Oti M, Gaeta B, Fatkin D and Wouters MA (2013) Gentrepid V2.0: a web server for candidate disease gene prediction. BMC Bioinformatics 14, 249.
  • Wouters MA & George RA (2011) Common module profiling of genes. US Patent Application 12/709,292.
  • Fan SW, George RA, Haworth NL, Feng LL, Liu JY and Wouters MA (2009) Conformational changes in redox pairs of protein structures. Protein Sci 18, 1745-1765.
  • Fan SW, George RA, Haworth NL, Chiu J, Dawes IW and Wouters MA (2008) Prediction of redox-regulated Cys in yeast. In: 9th International Congress on Cell Biology, edited by Chung HT and Paik SG. Seoul, South Korea: Medimond SRL. pp. 159-162.
  • George RA, Smith TD, Callaghan S, Hardman L, Pierides C, Horaitis O, Wouters MA, and Cotton RG (2008) Response to Stenson et al on the review of general mutation databases. J Med Genet 45, 319-320.
  • George RA, Smith TD, Callaghan S, Hardman L, Pierides C, Horaitis O, Wouters MA and Cotton RG (2008) General mutation databases: analysis and review. J Med Genet 45, 65-70.
  • Haworth NL, Gready JE, George RA and Wouters MA (2007) Evaluating the stability of disulfide bridges in proteins: A torsional potential energy surface for diethyl disulfide. Mol Simul 33, 475-485.
  • Wouters MA, George RA and Haworth NL (2007) "Forbidden" disulfides: Their role as redox switches. Curr Protein Pept Sci 8, 484-495.
  • George RA, Liu JY, Feng LL, Bryson-Richardson RJ, Fatkin D and Wouters MA (2006) A genome-wide analysis of protein sequence and interaction data for candidate disease gene prediction. Nucleic Acids Res 34, e130.
  • George RA, Spriggs RV, Bartlett GJ, Gutteridge A, MacArthur MW, Porter CT, Al-Lazikani B, Thornton JM and Swindells MB (2005) Effective function annotation through catalytic residue conservation. Proc Natl Acad Sci USA 102, 12299-12304.
  • Freilich S, Spriggs RV, George RA, Al-Lazikani B, Swindells MB and Thornton JM (2005) The complement of enzymatic sets in different species. J Mol Biol 349, 745-763.
  • Nobeli I, Spriggs RV, George RA and Thornton JM (2005) A ligand-centric analysis of the diversity and evolution of protein-ligand relationships in E. coli. J Mol Biol 347, 415-436.
  • George RA, Spriggs RV, Thornton JM, Al-Lazikani B and Swindells MB (2004) SCOPEC: a database of protein catalytic domains. Bioinformatics 20, (Suppl 1) I130-I136.

Protein folding:

  • Pang CNI, Lin K, Wouters MA, Heringa J and George RA (2008) Predicting protein domains using sequence hydrophobicity. Nucleic Acids Res 36, 578-588.
  • George RA, Lin K and Heringa J (2005) Scooby-domain: prediction of globular domains in protein sequence. Nucleic Acids Res 33, W160-W163.
  • George RA, Kleinjung J and Heringa J (2003) Predicting protein structural domains from sequence data. In: Bioinformatics and Genomes: Current Perspectives. Horizon Scientific Press; Norfolk, England. pp 1-26.
  • George RA and Heringa J (2002) An analysis of protein domain linkers: their classification and role in protein folding. Protein Eng 15, 871-879.
  • George RA and Heringa J (2002) Protein domain identification and improved sequence similarity searching using PSI-BLAST. Protein Struc, Func and Genet 48, 672-681.
  • George RA and Heringa J (2002) SnapDRAGON - a method to delineate protein structural domains from sequence data. J Mol Biol 316, 839-851.
  • George RA (2002) Predicting Structural Domains in Proteins. Thesis, University College London.
  • George RA and Heringa J (2000) The REPRO server: finding protein internal sequence repeats through the web. Trends Biochem Sci 25, 515-517

Address

Sydney, NSW 2000 Australia

Email

richardgeorge1@protonmail.com

Linkedin

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