# Phil De Luna

Phil De Luna is a Canadian materials scientist. He is currently the chief carbon scientist and head of engineering at Deep Sky, a Canadian carbon removals project developer.

## Education and career

De Luna earned a Bachelor of Science degree from the University of Windsor (2013), a Master of Science degree from the University of Ottawa (2015) and a Ph.D. in materials science from the University of Toronto (2018). His doctoral research identified new electrocatalytic materials for the conversion of carbon dioxide into renewable fuels and feedstocks. During this period, he worked as a research scientist at IBM T.J. Watson Research Center (2016) and Tokyo Research Institute (2018).
De Luna then began to serve as a director at the National Research Council Canada (NRC), heading the "Materials for Clean Fuels Challenge Program," a collaborative research program on Canadian-made clean energy technology (2019-2022). De Luna's research has focused on decarbonization, particularly CO$_2$ conversion, hydrogen, and artificial intelligence for materials science.
In 2022, De Luna was appointed an adjunct professor in the Department of Materials Science & Engineering at the University of Toronto. He has also served at UC Berkeley as a visiting researcher. Also in 2022, De Luna published the book "Accelerated Materials Discovery: How to Use Artificial Intelligence to Speed Up Development" about using artificial intelligence and robotics to accelerate traditional experimental discovery methods for new materials development. He was a consultant for McKinsey & Company (2022-2023) before joining Deep Sky. He is a Clarivate Highly Cited Researcher.
De Luna has published extensively in Canadian media on integrating minorities into scientific research and the need for engagement between scientists and politics. He holds a variety of board and fellowship positions and serves as the board chair at Carbon Management Canada.

## Politics

De Luna ran for the Green Party of Canada in Toronto—St. Paul's in the 2021 Canadian federal election. He finished fourth, behind the incumbent Liberal MP Carolyn Bennett, as well as the Conservative and NDP candidates.

## Personal life

De Luna is of Filipino descent. He lives in Toronto with his partner, an operating room nurse at the Hospital for Sick Children.

## Electoral record

vte2021 Canadian federal election: Toronto—St. Paul's :
| Party | Candidate | Votes | % | ±% | Expenditures |
| | Liberal | Carolyn Bennett | 26,429 | 49.22 | -5.09 | $88,807.52 |
| | Conservative | Stephanie Osadchuk | 13,587 | 25.30 | +3.69 | $26,751.24 |
| | New Democratic | Sidney Coles | 9,036 | 16.83 | +1.05 | $31,250.09 |
| | Green | Phil De Luna | 3,214 | 5.99 | -0.77 | $30,817.63 |
| | People's | Peter Remedios | 1,432 | 2.67 | +1.12 | $1,412.77 |
| Total valid votes/Expense limit | Total valid votes/Expense limit | Total valid votes/Expense limit | 53,698 | 98.93 | – | $112,245.61 |
| Total rejected ballots | Total rejected ballots | Total rejected ballots | 580 | 1.07 | +0.43 |
| Turnout | Turnout | Turnout | 54,278 | 65.48 | -4.91 |
| Eligible voters | Eligible voters | Eligible voters | 82,891 |
| | Liberal hold | Liberal hold | Swing | Swing | -4.39 |
| Source: Elections Canada |||||||

## Selected awards and recognition

* 2022 Globe and Mail Report on Business Changemaker
* 2021 College of New Scholars, Artists and Scientists, Royal Society of Canada
* 2019 Forbes 30 Under 30

## Selected publications

* De Luna, Phil (2022). De Luna, Phil (ed.). Accelerated Materials Discovery: How to Use Artificial Intelligence to Speed Up Development. De Gruyter STEM. doi:10.1515/9783110738087. ISBN 9783110738049. S2CID 247213280.
* De Luna, Phil; Hahn, Chris; et al. (26 April 2019). "What would it take for renewably powered electrosynthesis to displace petrochemical processes?". Science. 364 (6438). Bibcode:2019Sci...364.3506D. doi:10.1126/science.aav3506. PMID 31023896. S2CID 206667872.
* De Luna, Phil; Quintero-Bermudez, Rafael; et al. (15 January 2018). "Catalyst electro-redeposition controls morphology and oxidation state for selective carbon dioxide reduction". Nature Catalysis. 1 (2): 103–110. doi:10.1038/s41929-017-0018-9. S2CID 53469664. Retrieved December 28, 2022.