Taru Jain

Taru Jain

Undergrad Researcher

About Me

I am a senior year undergraduate student, pursuing majors in Information Technology. My primary research interests are centered around employing social computing and qualitative research to study and design for mental well-being of underserved communities. I am passionate about understanding real life challenges, behavior and coping mechanisms of the marginalized communities as they get reflected through their social media activities and exploring solutions to promote prosocial behavior in online spaces.

I have worked as a Research Intern at MIDAS-IIITD under the supervision of Dr. Rajiv Ratn Shah, on projects based on computational social science. Previously, I have also collaborated with Dr. Amita Kapoor in University of Delhi on projects at the intersection of computer vision and healthcare.

Interests
  • ICTD
  • Social Computing
  • Mental Well-Being & Behavioral Science
Education

  • B.Tech in Information Technology, 2021

    GGSIPU, New Delhi, India

Highlights

  • [Mar 2021]: Long paper on Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures accepted at NAACL 2021!
  • [Feb 2021]: Excited to join PLIO as a volunteer in HCI Research!
  • [Dec 2020]: Awarded travel grant to attend NeurIPS 2020 as a WiML volunteer.
  • [Dec 2020]: Accepted into the ACM India Winter School 2020.
  • [Nov 2020]: Awarded travel grant to attend EMNLP 2020 as a volunteer.
  • [Nov 2020]: Contributing to paper reading sessions at WING NUS Public Reading Group and project showcase at STePS.
  • [Sept 2020]: Presenting my work at IEEE BigMM 2020!
  • [Sept 2020]: Papers on Financial Risk Forecasting accepted at EMNLP 2020 and Interspeech 2020!
  • [Aug 2020]: Accepted into the Google Research India - AI Summer School 2020 under the AI4SG ( AI For Social Good ) and HCI Track.

Recent Publications

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Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur, Rajiv Ratn Shah (2020). VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing(EMNLP).

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Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Puneet Mathur, Taru Jain, Rajiv Ratn Shah (2020). Risk Forecasting from Earnings Calls Acoustics and Network Correlations. In Proc. Interspeech 2020.

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Taru Jain (2020). Adversarial Machine Learning for Self Harm Disclosure Analysis (Workshop Paper) . In IEEE Sixth International Conference on Multimedia Big Data (BigMM).

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Experience

 
 
 
 
 
Junior Machine Learning Engineer
Omdena
Aug 2020 – Oct 2020 California, US
Collaborated with 60 developers worldwide towards an initiative to protect children from online harassment
 
 
 
 
 
Research Intern
MIDAS Lab - IIITD
Jan 2020 – Nov 2020 New Delhi, India
  • Researched and experimented with black box and white box adversarial attacks on problems in computational social science
  • Worked on financial risk forecasting, leveraging multimodal analysis and affective computing
 
 
 
 
 
Research Intern
University of Delhi (In collaboration with Peter Moss AML/ALL AI Research project)
Jun 2019 – Dec 2019 New Delhi, India
Worked on a healthcare project and developed classification models using deep learning for early diagnosis of Acute Lymphoblastic Leukemia

Blog

Academic Public Scholarship

Personal Musings

Let’s get in touch!