Chief Research Officer
CurrentWorking towards enabling women's scholarship through community, collaboration and elevating excellence.
Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Vinutha Magal Shreenath, Phd is listed as Chief Research Officer at Women in AI at Women in AI, a company with 110 employees, based in Greater Stockholm Metropolitan Area, Sweden, Sweden. AeroLeads shows a matched LinkedIn profile for Vinutha Magal Shreenath, Phd.
Vinutha Magal Shreenath, Phd previously worked as Chief Research Officer at Women In Ai and Research Lead - WAI Sweden at Women In Ai. Vinutha Magal Shreenath, Phd holds Doctor Of Philosophy - Phd, Data Science from Kth Royal Institute Of Technology.
This section adds company-level context without repeating Vinutha Magal Shreenath, Phd's masked contact details.
Review company-level records connected to Vinutha Magal Shreenath, Phd before choosing the right outreach path.
I am a scientist and engineer, with specialisation and work in modelling, simulation, AI innovation and DEI. Experienced leader, building and managing inter-disciplinary teams, from project creation to delivery. I have over 17 years of experience working in industry, academia, and public sector – with the ability to navigate their currents and build coalitions to work together. Strong record of publications, funding, and tools across disciplines – for AI technology. Most recently, I have led AI technology development in the Space sector for AI Sweden. I have also conducted research for use of ML methods for large, complex problems in transportation and healthcare. I am passionate about DEI, and work with Women in AI in several roles, helping create opportunities for women in research – locally and internationally; together we have built communities in tech where women are also in the centre and not just in the sidelines. Data is increasingly used as a proxy of the world around us. Models built on top of this data, are supposed to be a true reflection of reality. My work, and interests lie in this mediation between the artificial and the real, building and understanding AI models, and making them useful in the real world through relevant methodologies.
Listed skills include Information Retrieval, Machine Learning, Weka, Mahout, and 14 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Stockholm, Stockholm County, Sweden
Working towards enabling women's scholarship through community, collaboration and elevating excellence.
Often, as the only woman in the room where technology is developed and discussed, the issues of Diversity Equity and Inclusion are especially important to me. As a founding member of core-team of Women in AI Sweden, we have grown the membership from 0 - 3000+, through community driven events, workshops hackathons and collaborations in Sweden. My.
As founding member of WAI labs, the research arm of WAI Global, I have been part of creating the mission for WAI labs, increasing members and creating opportunities for women in AI research. Have conducted workshops in international conferences(IJCAI, EMNLP) and been part of international panels and webinars. With the belief that women belong in STEM as.
Started technology development in Space sector for AI Sweden at TRL 2, with simulator for certain conditions in Space. Built and led a team of postdocs and students from different organisations towards a common goal. Visible outcomes are 2 research papers, a poster, a simulation package, 3 master theses, reports and 2 fully funded projects - in a year..
Stockholm County, Sweden
Aiditto was a non-profit software platform to augment disrupted supply chains in the pandemic, matching city needs and citizen donations. Involved in raising funds, and developing collaborations with municipalities and counties in Sweden.
Stockholm, Sweden
Research in Data Science and Artificial Intelligence for using big data in the design of large-scale futuresystems.+ In collaboration with Scania, developed methods to use spatial big data of truck movements (FCD)to mine geo-locations for future Electrical Road System (ERS) in Stockholm city. + Imitating human design and cognition using Reinforcement.
Developed a fork of Canvas - a Learning Management System (LMS) - as a virtual world with analytics of student interactions, for a pilot online course. The course was run between KTH and Tsinghua University, simultaneously in Sweden and China using the fork. Following this successful pilot, KTH adopted Canvas as their LMS throughout the university.
Oxford, United Kingdom
The Frontier Development Lab (FDL) applies AI technologies to space science, to push the frontiers of research and develop new tools to help solve some of the biggest challenges that humanity faces. FDL is a public-private partnership with ESA in Europe and NASA in the USA. We work with commercial partners such as NVIDIA, Intel, and Google Cloud who.
Bengaluru Area, India
Conceptualised, designed and developed analytics solutions and visualisations for over 400 of the world’s top brands, to understand their social media interactions with sentiment analysis. Responsible for engineering of a tracking system to efficiently store and manage big data from the social media interactions of all clients.
Responsible for research in Information Retrieval to explore different search paradigms and improve the effectiveness of Xurmo’s Enterprise Search product. Designed and developed a custom Machine Learning Library to integrate with Xurmo’s Big Data Platform. Prototyped many proofs-of-concept of data science applications for different domains.
Responsible for analysis of data flows, data modelling and design of Content Management System(CMS) to manage data for ASDA, a Walmart subsidiary. Worked on development, enhancement and maintenance of British Petroleum’s Intranet.
Other employees you can reach at womeninai.co. View company contacts for 110 employees →
Monali Gaikwad
Colleague at Women In Ai
Toronto, Ontario, Canada, Canada
View →
YT
Ya-Lee Tsai
Colleague at Women In Ai
Newark, California, United States, United States
View →
BD
Bianca Dybala
Colleague at Women In Ai
Haarlem, North Holland, Netherlands, Netherlands
View →
DB
Deepika B.
Colleague at Women In Ai
London, England, United Kingdom, United Kingdom
View →
SC
Sireesha Chavali
Colleague at Women In Ai
Edinburgh, Scotland, United Kingdom, United Kingdom
View →
AP
Adjunct Prof. Tania Peitzker, Phd Uni Potsdam.
Colleague at Women In Ai
Greater Nice Metropolitan Area, France
View →
CO
Cathy Ong Ly
Colleague at Women In Ai
Toronto, Ontario, Canada, Canada
View →
OS
Omelbanat Sami
Colleague at Women In Ai
6th Of October, Al Jizah, Egypt, Egypt
View →
MD
Maria Dapena
Colleague at Women In Ai
Palma, Balearic Islands, Spain, Spain
View →
EM
Elena Medvedeva
Colleague at Women In Ai
Nokia, Pirkanmaa, Finland, Finland
View →
Title: Creating Knowledge with Data Science for Design in Systems Keywords: Data Science, Design Cognition, Transport, Healthcare.
Quick answers generated from the profile data available on this page.
Vinutha Magal Shreenath, Phd works for Women in AI.
Vinutha Magal Shreenath, Phd is listed as Chief Research Officer at Women in AI at Women in AI.
Vinutha Magal Shreenath, Phd is based in Greater Stockholm Metropolitan Area, Sweden, Sweden while working with Women in AI.
Vinutha Magal Shreenath, Phd has worked for Women In Ai, Ai Sweden, Aiditto, Kth Royal Institute Of Technology, and Frontier Development Lab.
Vinutha Magal Shreenath, Phd's colleagues at Women in AI include Monali Gaikwad, Ya-Lee Tsai, Bianca Dybala, Deepika B., and Sireesha Chavali.
You can use AeroLeads to view verified contact signals for Vinutha Magal Shreenath, Phd at Women in AI, including work email, phone, and LinkedIn data when available.
Vinutha Magal Shreenath, Phd holds Doctor Of Philosophy - Phd, Data Science from Kth Royal Institute Of Technology.
Vinutha Magal Shreenath, Phd is listed with skills including Information Retrieval, Machine Learning, Weka, Mahout, R, Lucene, Hbase, and Hive.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts