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- All HBS Web (38)
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- Article
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention
Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
- Other Article
Prize-based Contests Can Provide Solutions to Computational Biology Problems
By: Karim R. Lakhani, Kevin J. Boudreau, Po-Ru Loh, Lars Backstrom, Carliss Y. Baldwin, Eric Lonstein, Mike Lydon, Alan MacCormack, Ramy A. Arnaout and Eva C. Guinan
Lakhani, Karim R., Kevin J. Boudreau, Po-Ru Loh, Lars Backstrom, Carliss Y. Baldwin, Eric Lonstein, Mike Lydon, Alan MacCormack, Ramy A. Arnaout, and Eva C. Guinan. "Prize-based Contests Can Provide Solutions to Computational Biology Problems." Nature Biotechnology 31, no. 2 (February 2013): 108–111.
- 21 Mar 2019
- Working Paper Summaries
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
- February 2015
- Article
'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology
By: Kevin J. Boudreau and Karim R. Lakhani
Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of... View Details
Keywords: Open Innovation; Cumulative Innovation; Incentives; Search; Disclosure And Access; Knowledge Sharing; Motivation and Incentives; Collaborative Innovation and Invention
Boudreau, Kevin J., and Karim R. Lakhani. "'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology." Research Policy 44, no. 1 (February 2015): 4–19.
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
Mitchell Tang
Mitchell Tang graduated in 2016 from the University of Pennsylvania, where he completed dual-degrees in computational biology and economics as part of the Vagelos Program in Life Sciences and Management (LSM). While at Penn, Mitchell was involved in research at the... View Details
- 11 Feb 2013
- News
Thorny research problems, solved by crowdsourcing
- Web
Curriculum - MBA
epigenetic modifiers, metabolic enzymes and transcription factors. This course will teach students how to use modern computer modeling applications to perform structure-based design of small molecule ligands. Chemical View Details
- Web
Faculty & Advisors - MBA
distinction in Computational Biology from the Department of Applied Mathematics and Theoretical Physics at Cambridge as a Paul Mellon Fellow. Eileen McCullough MBA ‘05, Harvard University; BS, Chemistry,... View Details
- Web
Class Profile - Doctoral
score. Undergraduate Majors* Accounting Applied Mathematics Biology Business Computer Science Decision Sciences Economics Engineering Finance Government History Information Systems Law Mathematics Operations... View Details
- Web
Blavatnik Fellowship in Life Science Entrepreneurship - Health Care
intern at Illumina. Narek holds an MEng and BSc in computer science and molecular biology from MIT.Núria Puigmal Dominguez, PhD, is an entrepreneur and cross-disciplinary bioengineer with expertise in... View Details
- Web
Named Fellowship Funds - Alumni
career with Apple Computer in the Bay Area. After earning his undergraduate degree in computer science from the Indian Institute of Technology (IIT) in Kanpur, Uttar Pradesh, Bajaj became a Baker Scholar at... View Details
- Web
HBR Classics - Alumni
thinking and practice. As an exclusive benefit for HBS alumni, 77 of these HBR Classics are now available for free downloading. Please browse the collection below; login is required. Just click on a title to read online or download the case to your View Details
- Web
Fostering Innovation in Life Sciences - Health Care
Evidence from Europe By: Fiona M. Scott Morton, Ariel Dora Stern and Scott Stern 15 Mar 2019 Science Targeting cancer and careers: Precision Medicine Re: Richard Hamermesh 21 Mar 2019 Working Knowledge Advancing Computational View Details
- 01 Jan 2013
- News
Thai Lee, MBA 1985
President and CEO, SHI International Download Lee profile Return to Alumni Achievement Awards main page TIMELINE 1958 Born, Bangkok, Thailand 1980 Earns BA, Biology and Economics, Amherst College 1985 Earns MBA 1985 Joins Procter & Gamble... View Details
Keywords: Susan Young
- 01 Jan 2004
- News
D. Ronald Daniel, MBA 1954
graduated from HBS and was finishing a three-and-a-half-year stint as an officer in the U.S. Navy Supply Corps, in charge of a select group that used early models of giant IBM computers to manage inventory for the Navy's airplanes. About... View Details
- Web
2022 Reunion Presentations - Alumni
first-semester RC applies to everyday problems. Leveraging the Biology of Adversity and Resilience to Strengthen the Foundations of Human Capital Development Professor Jack P. Shonkoff + More Info – Less Info This session will explore how... View Details
- Web
3 Technologies that Will Change the World in the Next Decade - Course Catalog
be and Art Blocks a company that is redefining digital art and creating a way for artists to capture value from their art. Synthetic Biology – Enabling us to reprogram DNA and rewrite the code of life (25% of sessions): We examine the... View Details
- 06 Jul 2021
- Blog Post
The MS/MBA Technology Showcase: A Celebration of Our Startups
fascinated by molecular biology, that career path was no longer the best fit for me. Curiosity led me to take a programming class, which catapulted my career into technology. With no formal computer science degree, I broke into tech from... View Details