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Ben Reis, PhD

Ben Reis
Program:
Computational Health Informatics Program (CHIP)
Department:
Medicine Research
Hospital Title:
Director, Predictive Medicine Group
Academic Title:
Assistant Professor, Harvard Medical School
Contact Via Email
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Dr. Ben Reis is Director of the Predictive Medicine Group at Harvard Medical School and the Children’s Hospital Informatics Program. His research focuses on understanding the essential patterns of human disease, and on developing novel approaches for predicting disease. He has created systems that allow doctors to predict dangerous clinical conditions years in advance, as well as predictive pharmacology systems that allow public health officials to identify life-threatening adverse drug effects years in advance. Dr. Reis has designed predictive health monitoring systems for regional and national settings, and has advised governments worldwide on establishing biodefense and biosurveillance infrastructures. He has been recognized by the White House for his work on harnessing social networks to promote health, and by the US State Department, USAID and NASA for his work in global health innovation.

Dr. Reis’s main research areas include:

  • Intelligent HistoriesDeveloping advanced predictive methods that allow doctors to identify important clinical risks, from diabetes to domestic abuse, years in advance.
  • Predictive Pharmacology: Developing predictive network-based approaches to pharmacovigilance, capable of identifying dangerous drug side effects and interactions years in advance.
  • Social Networks and Health: The HealthySocial project explores how emerging social networks can be used to promote and spread positive health behaviors, such as blood donation and influenza vaccination. HealthySocial apps have been used by tens of thousands of people worldwide.
  • Public Health Surveillance: Designing adaptive public health monitoring systems that allow public health officials to maintain situational awareness during times of increased risk and uncertainty, including pandemics and major public events.
  • Computational Linguistics: The SpeechWars project combines history, politics and language to study and visualize hundreds of years of history. SpeechWars was selected by the United States Library of Congress for inclusion in its official historic collections.

Publications

Publications powered by Harvard Catalyst Profiles
  1. Dagan N, Beskin D, Brezis M, Reis BY. Effects of Social Network Exposure on Nutritional Learning: Development of an Online Educational Platform. JMIR Serious Games. 2015 Oct 05; 3(2):e7.
  2. Barak-Corren Y, Reis BY. Internet activity as a proxy for vaccination compliance. Vaccine. 2015 May 15; 33(21):2395-8.
  3. Cami A, Reis BY. Concordance and predictive value of two adverse drug event data sets. BMC Med Inform Decis Mak. 2014 Aug 22; 14:74.
  4. McMurry AJ, Fitch B, Savova G, Kohane IS, Reis BY. Improved de-identification of physician notes through integrative modeling of both public and private medical text. BMC Med Inform Decis Mak. 2013 Oct 02; 13:112.
  5. Cami A, Manzi S, Arnold A, Reis BY. Pharmacointeraction network models predict unknown drug-drug interactions. PLoS One. 2013; 8(4):e61468.
  6. Reis BY, Olson KL, Tian L, Bohn RL, Brownstein JS, Park PJ, Cziraky MJ, Wilson MD, Mandl KD. A pharmacoepidemiological network model for drug safety surveillance: statins and rhabdomyolysis. Drug Saf. 2012 May 1; 35(5):395-406.
  7. Cami A, Arnold A, Manzi S, Reis B. Predicting adverse drug events using pharmacological network models. Sci Transl Med. 2011 Dec 21; 3(114):114ra127.
  8. Wang JF, Reis BY, Hu MG, Christakos G, Yang WZ, Sun Q, Li ZJ, Li XZ, Lai SJ, Chen HY, Wang DC. Area disease estimation based on sentinel hospital records. PLoS One. 2011; 6(8):e23428.
  9. Reis BY, Brownstein JS. Measuring the impact of health policies using Internet search patterns: the case of abortion. BMC Public Health. 2010 Aug 25; 10:514.
  10. Fine AM, Reis BY, Nigrovic LE, Goldmann DA, Laporte TN, Olson KL, Mandl KD. Use of population health data to refine diagnostic decision-making for pertussis. J Am Med Inform Assoc. 2010 Jan-Feb; 17(1):85-90.
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  12. Charland KM, Buckeridge DL, Sturtevant JL, Melton F, Reis BY, Mandl KD, Brownstein JS. Effect of environmental factors on the spatio-temporal patterns of influenza spread. Epidemiol Infect. 2009 Oct; 137(10):1377-87.
  13. Brownstein JS, Freifeld CC, Reis BY, Mandl KD. Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med. 2008 Jul 8; 5(7):e151.
  14. Freifeld CC, Mandl KD, Reis BY, Brownstein JS. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inform Assoc. 2008 Mar-Apr; 15(2):150-7.
  15. Reis BY, Kirby C, Hadden LE, Olson K, McMurry AJ, Daniel JB, Mandl KD. AEGIS: a robust and scalable real-time public health surveillance system. J Am Med Inform Assoc. 2007 Sep-Oct; 14(5):581-8.
  16. Reis BY, Kohane IS, Mandl KD. An epidemiological network model for disease outbreak detection. PLoS Med. 2007 Jun; 4(6):e210.
  17. McMurry AJ, Gilbert CA, Reis BY, Chueh HC, Kohane IS, Mandl KD. A self-scaling, distributed information architecture for public health, research, and clinical care. J Am Med Inform Assoc. 2007 Jul-Aug; 14(4):527-33.
  18. Fine AM, Nigrovic LE, Reis BY, Cook EF, Mandl KD. Linking surveillance to action: incorporation of real-time regional data into a medical decision rule. J Am Med Inform Assoc. 2007 Mar-Apr; 14(2):206-11.
  19. Reis BY, Brownstein JS, Mandl KD. Running outside the baseline: impact of the 2004 Major League Baseball postseason on emergency department use. Ann Emerg Med. 2005 Oct; 46(4):386-7.
  20. Mandl KD, Reis B, Cassa C. Measuring outbreak-detection performance by using controlled feature set simulations. MMWR Suppl. 2004 Sep 24; 53:130-6.
  21. Reis BY, Mandl KD. Syndromic surveillance: the effects of syndrome grouping on model accuracy and outbreak detection. Ann Emerg Med. 2004 Sep; 44(3):235-41.
  22. Beitel AJ, Olson KL, Reis BY, Mandl KD. Use of emergency department chief complaint and diagnostic codes for identifying respiratory illness in a pediatric population. Pediatr Emerg Care. 2004 Jun; 20(6):355-60.
  23. Reis BY, Pagano M, Mandl KD. Using temporal context to improve biosurveillance. Proc Natl Acad Sci U S A. 2003 Feb 18; 100(4):1961-5.
  24. Reis BY, Mandl KD. Time series modeling for syndromic surveillance. BMC Med Inform Decis Mak. 2003 Jan 23; 3:2.
  25. Reis BY, Mandl KD. Integrating syndromic surveillance data across multiple locations: effects on outbreak detection performance. AMIA Annu Symp Proc. 2003; 549-53.
  26. Butte AJ, Bao L, Reis BY, Watkins TW, Kohane IS. Comparing the similarity of time-series gene expression using signal processing metrics. J Biomed Inform. 2001 Dec; 34(6):396-405.
  27. Reis BY, Butte AS, Kohane IS. Extracting knowledge from dynamics in gene expression. J Biomed Inform. 2001 Feb; 34(1):15-27.
  28. Seung HS, Lee DD, Reis BY, Tank DW. The autapse: a simple illustration of short-term analog memory storage by tuned synaptic feedback. J Comput Neurosci. 2000 Sep-Oct; 9(2):171-85.
  29. Seung HS, Lee DD, Reis BY, Tank DW. Stability of the memory of eye position in a recurrent network of conductance-based model neurons. Neuron. 2000 Apr; 26(1):259-71.
  30. Reis BY, Kohane IS, Mandl KD. Longitudinal histories as predictors of future diagnoses of domestic abuse: modelling study. BMJ. 2009 Sep 29; 339:b3677.
  31. Rosellini AJ, Monahan J, Street AE, Heeringa SG, Hill ED, Petukhova M, Reis BY, Sampson NA, Bliese P, Schoenbaum M, Stein MB, Ursano RJ, Kessler RC. Predicting non-familial major physical violent crime perpetration in the US Army from administrative data. Psychol Med. 2016 Jan; 46(2):303-16.
  32. Banda JM, Callahan A, Winnenburg R, Strasberg HR, Cami A, Reis BY, Vilar S, Hripcsak G, Dumontier M, Shah NH. Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records. Drug Saf. 2016 Jan; 39(1):45-57.
  33. Rosellini AJ, Monahan J, Street AE, Hill ED, Petukhova M, Reis BY, Sampson NA, Benedek DM, Bliese P, Stein MB, Ursano RJ, Kessler RC. Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes. J Psychiatr Res. 2017 Jan; 84:128-136.
  34. Kessler RC, Stein MB, Petukhova MV, Bliese P, Bossarte RM, Bromet EJ, Fullerton CS, Gilman SE, Ivany C, Lewandowski-Romps L, Millikan Bell A, Naifeh JA, Nock MK, Reis BY, Rosellini AJ, Sampson NA, Zaslavsky AM, Ursano RJ. Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Mol Psychiatry. 2016 Jul 19.
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