My name is Megh (pronounced 'make' as in makerspace). I use they/them pronouns.
I am an Assistant Professor of Critical Data Studies and Computing at Simon Fraser University's Department of Gender, Sexuality, and Women's Studies. Before coming to SFU, I was an Assistant Professor in the Department of Media & Information and Center for Bioethics & Social Justice at Michigan State University.
My research is situated at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), science and technology studies (STS), disability studies, and information studies. I study expert work practices and marginalized people's experiences, particularly in the domains of healthcare, government, and education. Conceptually, the themes of time, classification, representation, and social justice tie together my various projects. My work generates conceptual and design implications for inclusive sociotechnical systems.
My newest projects examine the spotty inclusion of diverse genders in systems that store data about people, and design tools to help patients and caregivers manage data-intensive medical technologies such as brain implants. My PhD research examined lay and expert diagnosis in epilepsy (i.e., constructions of seizure).
My work has been published in top computing and social science venues (CHI, CSCW, Social Studies of Science, and Time & Society), earning a best paper award. It has also been presented at meetings of the Society for the Social Studies of Science (4S), Society for Disability Studies, Eastern Sociological Society, Canadian Disability Studies Association, Nordic Network on Disability Research, and American Epilepsy Society. I have received fellowships from Microsoft Research, University of California's Office of the President, and University of Michigan's Institute for the Humanities, Initiative in Disability Studies, and Rackham Program in Public Scholarship for my work on technology and society. My NSF CAREER proposal was being awarded (having received the highest rating), when it was rescinded due to US executive orders.
Prior to starting as faculty, I was President's Postdoctoral Fellow in the Department of Informatics at the University of California, Irvine mentored by Gillian Hayes. I received a PhD in Information from the University of Michigan, Ann Arbor, where I was advised by Kentaro Toyama and mentored by Tiffany Veinot, Sucheta Joshi, Elizabeth F.S. Roberts, and Joyojeet Pal.
Before my PhD, I was a research fellow at Microsoft Research, fortunate to be supervised by Bill Thies, Jacki O'Neill, and Ed Cutrell. I received a master's degree in computer science from the University of Toronto, advised by Graeme Hirst; and a bachelor's degree in computer engineering from the University of Mumbai. I worked as a technical lead and software engineer in product-driven social media analytics and financial software companies. Some of my work continues to power their technical infrastructure. I enjoy writing carefully designed and easy to maintain code.
My CV is here.
I am an Assistant Professor of Critical Data Studies and Computing at Simon Fraser University's Department of Gender, Sexuality, and Women's Studies. Before coming to SFU, I was an Assistant Professor in the Department of Media & Information and Center for Bioethics & Social Justice at Michigan State University.
My research is situated at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), science and technology studies (STS), disability studies, and information studies. I study expert work practices and marginalized people's experiences, particularly in the domains of healthcare, government, and education. Conceptually, the themes of time, classification, representation, and social justice tie together my various projects. My work generates conceptual and design implications for inclusive sociotechnical systems.
My newest projects examine the spotty inclusion of diverse genders in systems that store data about people, and design tools to help patients and caregivers manage data-intensive medical technologies such as brain implants. My PhD research examined lay and expert diagnosis in epilepsy (i.e., constructions of seizure).
My work has been published in top computing and social science venues (CHI, CSCW, Social Studies of Science, and Time & Society), earning a best paper award. It has also been presented at meetings of the Society for the Social Studies of Science (4S), Society for Disability Studies, Eastern Sociological Society, Canadian Disability Studies Association, Nordic Network on Disability Research, and American Epilepsy Society. I have received fellowships from Microsoft Research, University of California's Office of the President, and University of Michigan's Institute for the Humanities, Initiative in Disability Studies, and Rackham Program in Public Scholarship for my work on technology and society. My NSF CAREER proposal was being awarded (having received the highest rating), when it was rescinded due to US executive orders.
Prior to starting as faculty, I was President's Postdoctoral Fellow in the Department of Informatics at the University of California, Irvine mentored by Gillian Hayes. I received a PhD in Information from the University of Michigan, Ann Arbor, where I was advised by Kentaro Toyama and mentored by Tiffany Veinot, Sucheta Joshi, Elizabeth F.S. Roberts, and Joyojeet Pal.
Before my PhD, I was a research fellow at Microsoft Research, fortunate to be supervised by Bill Thies, Jacki O'Neill, and Ed Cutrell. I received a master's degree in computer science from the University of Toronto, advised by Graeme Hirst; and a bachelor's degree in computer engineering from the University of Mumbai. I worked as a technical lead and software engineer in product-driven social media analytics and financial software companies. Some of my work continues to power their technical infrastructure. I enjoy writing carefully designed and easy to maintain code.
My CV is here.
