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DJ Patil

DJ Patil
Dhanurjay Patil
DJ Patil in 2021
DJ Patil in 2021
Chief Data Scientist of the United States Office of Science and Technology Policy
In office
2015–2017
PresidentBarack Obama
Preceded byOffice created
Personal details
RelationsSuhas Patil (father)
Alma materUniversity of California, San Diego (BA)
University of Maryland College Park (PhD)

Dhanurjay "DJ" Patil (born August 3, 1974) is an American mathematician and computer scientist who served as the Chief Data Scientist of the United States Office of Science and Technology Policy[1][2][3] from 2015[4] to 2017.[5] He is the Head of Technology for Devoted Health.[6] He previously served as the Vice President of Product at RelateIQ, which was acquired by Salesforce.com, as Chief Product Officer of Color Labs, and as Head of Data Products and Chief Scientist of LinkedIn.[7][8] His father, Suhas Patil, is a venture capitalist and the founder of Cirrus Logic.

Early life and education

Patil attended Kennedy Middle School, Monta Vista High School and De Anza College, all in Cupertino, California.[9][10] While at Kennedy, he participated in a student exchange program, visiting Toyokawa, Cupertino's sister city in Japan, in 1988. In high school, he often got into trouble and graduated in 1992 near the bottom of his class. He followed his girlfriend to De Anza Community College, which he attended for one year.[11][12] He earned a B.A. in mathematics from Earl Warren College[13] at University of California, San Diego. He received a PhD in applied mathematics from the University of Maryland College of Computer, Mathematical, and Natural Sciences. While a faculty member at University of Maryland College Park, he used open datasets published by NOAA to improve numerical weather forecasting.

Career

Patil has held positions at LinkedIn, Greylock Partners, Skype, PayPal, and eBay.

2004

In 2004, Patil worked in the Advanced Systems and Concepts Office in the Department of Defense. He served as the project leader for the Threat Anticipation Project.[14] His role was to anticipate threats connected to and surrounding terrorism, weapons of mass destruction and failed states (with an emphasis on human rights violations),[15] employing social network analysis to help anticipate these threats.[16][10] Patil described himself as part of “the second wave of people”[17] who were to use data to detect signalled noise, a concern which grew following the 9/11 attacks.

2011

While a data-scientist-in-residence at Greylock Partners, Patil produced Building Data Science Teams.[18] The book provides advice and strategies on creating data science teams in business and technology. It was published by O'Reilly Media.[19]

2012

Patil wrote Data Jujitsu--The art of turning data into product, also while a data-scientist-in-residence at Greylock Partners.[20] The book gives instructions as to solving data science problems and whether they are "worth solving" at all. It was also published by O'Reilly Media.[21]

2015–2017

On February 18, 2015, the White House announced Patil would be the first U.S. Chief Data Scientist (Deputy Chief Technology Officer for Data Policy and Chief Data Scientist). In addresses to the public, Patil explained: "The mission of the U.S. Chief Data Scientist, simply put, is to responsibly unleash the power of data to benefit all Americans."[22] He added that his team's priority was to do so by creating data.[23]

In a memorandum on February 20, 2015, entitled “Unleashing the Power of Data to Serve the American People”, Patil outlined his goals as Chief Data Scientist:

  • Providing vision on how to provide a maximum social return on federal data.
  • Creating nationwide data policies that enable shared services and forward-leaning practices to advance our nation's leadership in the data age.
  • Working with agencies to establish best practices for data management and ensure the long-term sustainability of databases.
  • Recruiting and retaining the best minds in data science for public service to address these data science objectives and act as conduits among the government, academia, and industry.[24]

In his tenure, Patil helped launch the White House's Police Data Initiative as well as the White House's Data-Driven Justice Initiative, collecting data on police activities, and worked on the Precision Medicine Initiative, aiming to build the largest database on genetic information.[25]

Law Enforcement

In 2015, President Obama initiated The President's Task Force on 21st Century Policing in response to the Ferguson shootings in 2014. Included were the Police Data Initiative and the Data-Driven Justice Initiative.[17]

Police Data Initiative

The Police Data Initiative aimed to build trust between the police and their communities by releasing data sets on “stops and searches, uses of force, officer-involved shootings, or other police actions.”[26]

Open data was also thought to increase accountability within the police. The initiative had gathered 126 jurisdictions across the country.[27]

The information would enable investigation into patterns of injustice as well as the ability to see if systems in place were wanted or working. Police departments struggled to release their data, primarily because it was not “collected well”, as Patil had mentioned in an interview.[28] Disorganized datasets had prevented accurate assessments. Patil proposed that this was due to the absence of a dedicated technician whose purpose is to organize the data.[29] Efforts were taken to improve coding abilities of police superintendents[30] and homogenizing organization across the 18,000 jurisdictions on board.[29]

More than 170 datasets were released at the start of the initiative in 2015.[31]

Data-Driven Justice Initiative

With open police data, Patil saw that data helped track law enforcement actions’ disproportionate interactions with minorities, the poor and those with mental health concerns. In a memorandum to the American people, Patil said, “if all the data from law enforcement were effectively captured, analyzed, and shared, imagine how the effective and analysis of data could advance proven reforms, increase efficiency, and prevent injustice.”.[23] Efforts to decrease the injustice is considered the Data-Driven Justice Initiative (DDJ). DDJ aimed to help governments from the county to the state level to filter low-level offenders and those with mental illness from higher level offenders and the criminal system at large. Changing the approach to pre-trial incarceration would allow low-risk offenders to shorten jail time especially if they cannot afford bail.[32][33] At its start in 2015, more than 91 million people are covered by the DDJ.[33]

Medicine

Precision Medicine Initiative

Patil had a special interest in using data to improve the medical field by way of the Precision Medicine Initiative (PMI). PMI aimed to build the largest database of genomic information to increase understanding of cancer treatments, chronic disease, and rare diseases[34] The initiative was started as there is not a current dataset in which analyses and correlations can be made across gender and ethnic diversities. This would help with curing diseases but also understand the health of the general population. Patil had often stated that it would be helpful because one may very well be able to see what diseases are not actually rare, but very common. A key issue in PMI that Patil worked on was of trust.[17] Considering vulnerability and the issue of ethics that arises in pursuing an initiative PMI, Patil sought to develop workshops and “listening sessions” to hear specific concerns regarding the initiative. Based on the feedback, Patil devised the “privacy and trust principles.”[23] The first principle in its section entitled “Data Sharing, Access, and Use”, is that “data access, use, and sharing should be permitted for authorized purposes only."[35]

Concerned with maintaining these principles grew for the future as Patil addressed concerns about the effect of American Healthcare Act (AHCA) on contributions to PMI. He feared that, with the AHCA, people will be scared to donate their genomic information because it will expose pre-existing conditions. While there are protections in place to secure data privacy such as the Genetic Information Nondiscrimination Act (GINA) instilled in 2008, Patil expressed a worry that the Act would not be heeded.[36]

2017–present

Patil was a member of the National Infrastructure Advisory Council before resigning in August 2017.[37]

In October 2017, it was reported that Patil had joined the executive team of Devoted Health.[38] He is currently the Head of Technology.[39][40]

On November 14, 2017, Patil announced that he was joining Venrock as an adviser.[41]

In February 2023, Patil became a general partner at GreatPoint Ventures.[42]

References

  1. ^ "The White House Names Dr. DJ Patil as the First U.S. Chief Data Scientist". whitehouse.gov. February 18, 2015. Archived from the original on July 16, 2024. Retrieved November 20, 2017 – via National Archives.
  2. ^ Elizabeth Dwoskin (February 19, 2015). "White House Names Nation's First Chief Data Scientist". The Wall Street Journal blog. Archived from the original on February 21, 2015. Retrieved February 21, 2015.
  3. ^ Arun Kumar (February 20, 2015). "Indian-American DJ Patil named as first US chief data scientist". The Economic Times. Archived from the original on February 21, 2015. Retrieved February 21, 2015.
  4. ^ "The White House Names Dr. DJ Patil as the First U.S. Chief Data Scientist". whitehouse.gov. February 18, 2015. Archived from the original on July 16, 2024. Retrieved November 20, 2017 – via National Archives.
  5. ^ ucsdalumnitv (June 19, 2017). "Conversation with DJ Patil for Alumni Weekend 2017". Archived from the original on July 16, 2024. Retrieved November 20, 2017 – via YouTube.
  6. ^ "Devoted Health, a start-up selling health insurance to seniors, is worth $1.8 billion". CNBC. October 17, 2018. Archived from the original on October 23, 2018. Retrieved October 23, 2018.
  7. ^ Anath, Venkat (February 19, 2015). "Who is D.J. Patil, the first US chief data scientist?". livemint. Archived from the original on November 28, 2017. Retrieved November 19, 2017.
  8. ^ "LinkedIn Profile Page for DJ Patil".
  9. ^ Matt O'Brien (February 18, 2015). "White House taps Silicon Valley's DJ Patil as data chief". Silicon Beat, the tech blog of The Mercury News. Archived from the original on February 21, 2015. Retrieved February 21, 2015.
  10. ^ a b Robert Safian (January 9, 2012). "GENERATION FLUX: DJ PATIL". Fast Company. Archived from the original on July 16, 2024. Retrieved February 21, 2015.
  11. ^ "How I Became Chief Data Scientist". How I Became Chief Data Scientist. Archived from the original on July 12, 2020. Retrieved July 12, 2020.
  12. ^ Bereznak, Alyssa (April 9, 2015). "Meet DJ Patil: Obama's Big Data dude".
  13. ^ "Alumni Weekend: Conversation with DJ Patil '96". calendar.ucsd.edu. Archived from the original on November 21, 2017. Retrieved November 20, 2017.
  14. ^ Jayakumar, Amrita (March 29, 2015). "The White House's first chief data scientist is no stranger to Washington". Archived from the original on December 1, 2017. Retrieved November 20, 2017 – via www.washingtonpost.com.
  15. ^ "Threat Anticipation Project Overview" (PDF). af.mil. Archived from the original (PDF) on August 29, 2017. Retrieved November 20, 2017.
  16. ^ Jessi Hempel (February 18, 2015). "White House Names DJ Patil as the First US Chief Data Scientist". Wired. Archived from the original on February 20, 2015. Retrieved February 21, 2015.
  17. ^ a b c "Full transcript: Chief Data Scientist DJ Patil of the U.S. Office of Science and Technology Policy on Recode Decode". recode.net. Archived from the original on December 1, 2017. Retrieved November 20, 2017.
  18. ^ O'Reilly.com. "Building Data Science Teams". O'Reilly. O'Reilly Media, Inc. Archived from the original on November 19, 2017. Retrieved November 19, 2017.
  19. ^ Building Data Science Teams. Archived from the original on December 1, 2017. Retrieved November 19, 2017.
  20. ^ "Data Jujitsu: The Art of Turning Data into Product". O'Reilly. O'Reilly Media, Inc. Archived from the original on November 23, 2017. Retrieved November 19, 2017.
  21. ^ Data Jujitsu: The Art of Turning Data into Product. Apple Inc. Retrieved November 19, 2017.
  22. ^ Commonwealth Club (May 6, 2016). "United States Chief Data Scientist DJ Patil: Big Data and You". Retrieved November 20, 2017 – via YouTube.
  23. ^ a b c "A Six Month Update on How We've Been Using Data, and How it Benefits All Americans". digitalgov.gov. September 25, 2017. Archived from the original on December 1, 2017. Retrieved November 20, 2017.
  24. ^ House, The Obama White (February 20, 2015). "Unleashing the Power of Data to Serve the American People". medium.com. Archived from the original on December 1, 2017. Retrieved November 20, 2017.
  25. ^ "An Exit Interview With U.S. Chief Data Scientist DJ Patil - Science Friday". Science Friday. Archived from the original on July 16, 2024. Retrieved September 22, 2017.
  26. ^ Davis, Ron L.; Austin, Roy L.; Patil, DJ (October 13, 2016). "Growing Number of Communities are Using Data to Improve Policing and Criminal Justice". whitehouse.gov. Archived from the original on September 26, 2017. Retrieved November 17, 2017 – via National Archives.
  27. ^ Patil, Dr. DJ. "A Six Month Update on How We've Been Using Data, and How it Benefits All Americans". DigitalGov. U.S. General Services Administration. Archived from the original on December 1, 2017. Retrieved November 17, 2017.
  28. ^ Recode Staff. "Full transcript: Chief Data Scientist DJ Patil of the U.S. Office of Science and Technology Policy on Recode Decode". Recode. Vox Media. Retrieved November 18, 2017.
  29. ^ a b Dickey, Megan Rose (September 14, 2016). "White House's DJ Patil wants to disrupt the criminal justice system with data". TechCrunch. CrunchNetwork. Archived from the original on November 15, 2017. Retrieved November 19, 2017.
  30. ^ Ross, Denice; Wardell, Clarence (June 2016). "The Police Data Initiative Year of Progress: How We're Building on the President's Call to Leverage Open Data to Increase Trust between Police and Citizens". Medium. Archived from the original on November 21, 2017. Retrieved November 17, 2017.
  31. ^ Davis, Ron L.; Austin, Roy L.; Patil, DJ (October 13, 2016). "Growing Number of Communities are Using Data to Improve Policing and Criminal Justice". whitehouse.gov. Archived from the original on September 26, 2017. Retrieved November 19, 2017 – via National Archives.
  32. ^ DataGiri Meetup (July 22, 2017). "Dr. DJ Patil at DataGiri - data science and opportunity ahead". Youtube. Archived from the original on August 21, 2023. Retrieved November 19, 2017.
  33. ^ a b "A Six Month Update on How We've Been Using Data, and How it Benefits All Americans". digitalgov.gov. September 25, 2017. Archived from the original on December 1, 2017. Retrieved November 19, 2017.
  34. ^ "DJ Patil Talks Nerdy To Us". fivethirtyeight.com. March 18, 2015. Archived from the original on December 1, 2017. Retrieved November 20, 2017.
  35. ^ "Precision Medicine Initiative: Privacy and Trust Principles" (PDF). whitehouse.gov. Archived (PDF) from the original on May 11, 2018. Retrieved November 20, 2017 – via National Archives.
  36. ^ "We're About to Cripple the Genomic Medical Era – NewCo Shift". newco.co. May 23, 2017. Retrieved November 20, 2017.
  37. ^ "Trump's cybersecurity advisors resign en masse". Engadget. August 26, 2017. Retrieved September 8, 2017.
  38. ^ "Former athenahealth founders close $62M funding round for Medicare Advantage startup Devoted Health". FierceHealthCare. October 24, 2017.
  39. ^ Tindera, Michela. "Devoted Health, New Medicare Advantage Business, Raises $300 Million". Forbes. Archived from the original on November 3, 2018. Retrieved November 2, 2018.
  40. ^ "Meet Our Team". DevotedHealth. Archived from the original on February 17, 2020. Retrieved February 17, 2020.
  41. ^ "Obama's former chief data scientist, DJ Patil, joins Venrock as an adviser". TechCrunch. Archived from the original on November 14, 2017. Retrieved November 14, 2017.
  42. ^ "DJ Patil, ex-US data scientist, joins venture firm". Axios. Archived from the original on March 9, 2024. Retrieved March 9, 2024.
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