Your next steps, now that you’ve purchased an event ticket on Eventbrite:

  1. Login or Create a SCHED account. Use the same email account as Eventbrite to link your ticket to your event schedule.

  2. Browse panel discussion and events below and build your schedule. Events fill up fast, so grab a seat now! Be sure to sign up for the MotherSHIP Main Event on Tuesday evening, full of great pop up events and opportunities to meet new and old friends!

  3. Make your schedule and profile public so friends and colleagues can connect with you during the event. Fill out your bio so attendees can learn more about you. Connect your SCHED account to social media to share with those you know attending the Regatta. See your Account Settings.

  4. Join our online community by using #SEAWIT19 and share the events you’ve signed up for on social media so others can join you in demonstrating support for Women in Tech!

See you April 22-26 at the WiT Regatta!

avatar for Akriti Chadda

Akriti Chadda

Northeastern University
I am a Graduate Student in Computer Science at Northeastern University. Previously, I have spent time as a Research Intern And Visiting Researcher at The Hong Kong University of Science and Technology, The Chinese University of Hong Kong, University of Washington Seattle and The Allen Institute of Brain Science.

In the past, I have worked with Electromygram (EMG) data from rehabilitating human patients to understand the synergistic modules in the muscles of humans. Post that, I worked on understanding how the hawkmoths use their body (abdomen) to control their flights in a controlled environment as a part of a bigger project in bio-inspired robotics at University of Washington. Thus I have a wide variety of experience with various aspects of biological data collection, cleaning up the noise and analysing the data so that the results can be used for practical purposes.

However, it dawned on me the importance of knowing basic principles of algorithm efficiency and so I started building on my skill-set using a variety of online courses from Duke University, University of Michigan and Johns Hopkins University in Python and Efficient Data Analysis. In the like progression of events, I started an MS in Computer Science at Northeastern University in the Fall of 2018. I am a highly motivated and a quick learning engineer with prior research experience in neuroscience and robotics, as well as a passion for working with data and finding solutions to problems.

Having grown up in a small town of North India, I have had to work very hard to reach where I am today, but not without the help, mentoring and encouragement  from my friends and family, especially other women. Hence, I am very passionate about helping other women reach their goals in whatever little way that I can. I am happy to talk about transitioning into a career in Computer Science with whatever experience I have, as well as more soft-topics such as networking as a woman and public-speaking to leave an impression.