ACM-W 2021

Dr. Shubha Tole

Dr. Shubha Tole is an Indian neuroscientist, Professor and Principal Investigator at the Tata Institute of Fundamental Research in Mumbai, India. She is famous for discovering a gene that is crucial to the proper formation of the hippocampus, amygdala, and cortex of the brain. Tole has been awarded the Infosys prize for Life Sciences (2014), the Shanti Swarup Bhatnagar Award in 2010; the Research Award for Innovation in Neurosciences (RAIN) by the Society for Neuroscience in 2008, which is given for innovative work regardless of age or nationality. She received the National Women Bioscientist award by the Department of Biotechnology, Govt. of India (2008), the Swarnajayanti Fellowship (a prestigious young scientist award) by the Department of Science in Technology, Govt. of India (2005), and a Wellcome Trust Senior International Fellowship (1999), when she started her laboratory in Mumbai. She is a fellow of the INSA, the IAS, and the NAS.

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Dr. Ranjita Bhagwan

Dr. Ranjita Bhagwan is currently a Senior Principal Researcher at Microsoft Research India. The ACM India Council has named her as the recipient of the 2020 ACM India Outstanding Contributions in Computing by a Woman (OCCW) Award.

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Time	Description
1.45pm	Welcome Address by Dr. Heena Timani, Chair, ACM - W India. Co-Founder and Director, iAananya Datalytix Pvt. Ltd
2.00pm - 3.00pm	Invited Talk by the recipient of ACM India Outstanding Contributions in Computing by a Woman Award. Keynote Speaker - Dr. Ranjita Bhagwan Title: Using Data to Build Better Systems and Services
3.00pm - 4.30om	Panel Discussion - Virtual Workplaces Moderator Dr. Kalika Bali Panelist Dr. Sahana Murthy Dr. Manik Gupta Ms. Richa Singh Ms. Garima Shakya
4.30pm	Break
5.00pm - 6.00pm	Invited Talk Keynote Speaker - Dr. Shubha Tole Title: How the brain perceives the world and discussion on women in STEM
6.00pm - 6.10pm	Vote of Thanks

Time

Description

1.45pm

Welcome Address by Dr. Heena Timani, Chair, ACM - W India.
Co-Founder and Director, iAananya Datalytix Pvt. Ltd

2.00pm - 3.00pm

Invited Talk by the recipient of ACM India Outstanding Contributions in Computing by a Woman Award.
Keynote Speaker - Dr. Ranjita Bhagwan

Title: Using Data to Build Better Systems and Services

3.00pm - 4.30om

Panel Discussion - Virtual Workplaces
Moderator
Dr. Kalika Bali
Panelist
Dr. Sahana Murthy
Dr. Manik Gupta
Ms. Richa Singh
Ms. Garima Shakya

4.30pm

Break

5.00pm - 6.00pm

Invited Talk
Keynote Speaker - Dr. Shubha Tole
Title: How the brain perceives the world and discussion on women in STEM

6.00pm - 6.10pm

Vote of Thanks

Using Data to Build Better Systems and Services

Abstract: Today’s systems and services are large and complex, often supporting millions or even billions of users. Such systems are extremely dynamic as developers continuously commit code and introduce new features, fixes and, consequently, new bugs. Multiple problems crop up in such a dynamic environment, from misconfiguration of essential services, very slow testing and deployment procedures, and extended service disruptions when catastrophic bugs hit deployment. Nevertheless, with the advent of cloud-based services, new opportunities to use machine-learning to alleviate such problems have emerged. Large-scale services generate petabytes of code, test, and usage-related data within just a few days. This data can be potentially harnessed to provide valuable insights to engineers on how to improve service performance, security and reliability. However, cherry-picking important information from such vast amounts of systems-related data proves to be a formidable challenge. Over the last few years, we have been working on leveraging code, test logs and telemetry as data to build several tools that help develop and deploy systems faster while maintaining and even improving system reliability. My talk will first describe the challenges that arise from using machine learning on such systems-related data and metadata. Next I will do a deep-dive on the design of a few tools that we built and are being used by several of Microsoft’s services.