Vivienne Ming | |
---|---|
![]() Ming interviewed on SiliconAngle theCube in 2018 | |
Born | Evan Campbell Smith
[1] October 19, 1971 |
Alma mater |
University of California at San Diego (BS) Carnegie Mellon University (MS, PhD) |
Awards | 100 Women |
Scientific career | |
Fields |
Artificial intelligence Neuroscience |
Thesis | Efficient auditory coding (2006) |
Vivienne L’Ecuyer Ming (born October 19, 1971) [1] [2] is an American theoretical neuroscientist and artificial intelligence expert. She was named as one of the BBC 100 Women in 2017, and as one of the Financial Times' " LGBT leaders and allies today".
Ming has spoken extensively on her academic struggle early in life, which eventually led her to leave university. After struggling with depression, suicide, and homelessness, [3] [4] [5] she returned ten years later and received her Bachelor of Science degree with honors in cognitive neuroscience from the University of California at San Diego in 2000. [1] [6] She returned in 2016 to deliver the convocation at her alma mater. [6] Ming earned her Master of Science degree in 2003 followed by a PhD in 2006 [7] in Psychology at Carnegie Mellon University, in parallel with the computational neuroscience program at the Center for the Neural Basis of Cognition. [8] [9] [10] [2]
After her PhD, Ming held a joint postdoctoral fellowship at Stanford University and University of California, Berkeley, where she later[ when?] joined as a research scientist and visiting scholar. Ming has been involved with various organisations that challenge poor education and health policy. [11] She co-founded the think tank Socos, which consults on artificial intelligence, neuroscience and education reform. [12] [13] She demonstrated that the metrics used in hiring have little influence in workplace success. [12] She worked with Accenture on how they could train staff to be more creative. [12]
Ming has published research on Artificial intelligence (AI) in education [14] and created ”Muse”, a machine learning based tool for parents. It recommends research-based activities to support young people's creativity, motivation, and emotional intelligence. [15] [16] She has led research showing that psychological constructs such as metacognition, socio-emotional competence, creativity, and curiosity significantly affect long-term life-outcomes such as health, productivity, education attainment, and life satisfaction. [17] [18]
In May 2017 Ming delivered a TEDx Talk about how to make a better person. [19] She has spoken about machine learning at Singularity University in Brazil. [20] She spoke about artificial intelligence and neural networks at the Royal Irish Academy and the Royal Society in 2018. [11] [21] She has appeared on the PC Magazine podcast Fast Forward. [22] She has been featured on BBC Radio 4 and NPR. [23] [24]
Ming was included in the BBC's "Top 100 Women 2017" [25] and the Financial Times's “The OUTstanding lists: LGBT leaders and allies today", [26] along with other awards and acknowledgments. [27] [28] [29]
Vivienne Ming | |
---|---|
![]() Ming interviewed on SiliconAngle theCube in 2018 | |
Born | Evan Campbell Smith
[1] October 19, 1971 |
Alma mater |
University of California at San Diego (BS) Carnegie Mellon University (MS, PhD) |
Awards | 100 Women |
Scientific career | |
Fields |
Artificial intelligence Neuroscience |
Thesis | Efficient auditory coding (2006) |
Vivienne L’Ecuyer Ming (born October 19, 1971) [1] [2] is an American theoretical neuroscientist and artificial intelligence expert. She was named as one of the BBC 100 Women in 2017, and as one of the Financial Times' " LGBT leaders and allies today".
Ming has spoken extensively on her academic struggle early in life, which eventually led her to leave university. After struggling with depression, suicide, and homelessness, [3] [4] [5] she returned ten years later and received her Bachelor of Science degree with honors in cognitive neuroscience from the University of California at San Diego in 2000. [1] [6] She returned in 2016 to deliver the convocation at her alma mater. [6] Ming earned her Master of Science degree in 2003 followed by a PhD in 2006 [7] in Psychology at Carnegie Mellon University, in parallel with the computational neuroscience program at the Center for the Neural Basis of Cognition. [8] [9] [10] [2]
After her PhD, Ming held a joint postdoctoral fellowship at Stanford University and University of California, Berkeley, where she later[ when?] joined as a research scientist and visiting scholar. Ming has been involved with various organisations that challenge poor education and health policy. [11] She co-founded the think tank Socos, which consults on artificial intelligence, neuroscience and education reform. [12] [13] She demonstrated that the metrics used in hiring have little influence in workplace success. [12] She worked with Accenture on how they could train staff to be more creative. [12]
Ming has published research on Artificial intelligence (AI) in education [14] and created ”Muse”, a machine learning based tool for parents. It recommends research-based activities to support young people's creativity, motivation, and emotional intelligence. [15] [16] She has led research showing that psychological constructs such as metacognition, socio-emotional competence, creativity, and curiosity significantly affect long-term life-outcomes such as health, productivity, education attainment, and life satisfaction. [17] [18]
In May 2017 Ming delivered a TEDx Talk about how to make a better person. [19] She has spoken about machine learning at Singularity University in Brazil. [20] She spoke about artificial intelligence and neural networks at the Royal Irish Academy and the Royal Society in 2018. [11] [21] She has appeared on the PC Magazine podcast Fast Forward. [22] She has been featured on BBC Radio 4 and NPR. [23] [24]
Ming was included in the BBC's "Top 100 Women 2017" [25] and the Financial Times's “The OUTstanding lists: LGBT leaders and allies today", [26] along with other awards and acknowledgments. [27] [28] [29]