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Moksh Shukla

AI Scientist - Research & Development

Qure.ai

About Me

Hi! I am Moksh Shukla. I am currently working as an AI Scientist in the Research & Development team at Qure.ai, where I am developing deep learning algorithms for qCT-Lung product to detect early-stage lung cancer.

I graduated with a Bachelor of Technology from the Indian Institute of Technology, Kanpur (IITK), in 2022, with minors in Machine Learning and Applications and Computer Systems.

Previously, I worked as Research Intern at Natural Language Processing Lab, Virginia Tech with Prof. Lifu Huang, developing a benchmark for a Natural Language Reasoning task by leveraging external knowledge bases and commonsense.

My research interests lie in the fields of AI for Healthcare and Medical Imaging where I have worked on "Tumor Detection from Brain MRI using Clustering Algorithms" with Prof. KK Sharma I also did research internships at "IIM Ahmedabad and Stanford GSB where I used Causal Inference to determine the impacts of exogenous shocks to a natural experiment.

I have also done projects on Machine Learning and Computer Systems at IITK. For more details, please have a look at my resume here.

Interests

  • AI for Healthcare
  • Computer Vision
  • Health Analytics
  • Natural Language Processing

Education

 
 
 
 
 

Bachelor of Technology

Indian Institute of Technology Kanpur

Jul 2018 – July 2022 Kanpur, India

Major: Chemical Engineering

Minor: Computer Science & Engineering - Machine Learning, Computer Systems

Relevant Coursework: Intro to Machine Learning, Information Retrieval, Data Structures & Algorithms, Computer Networks, Database Management, Probability & Statistics, Statistical Simulation & Data Analysis, Numerical Methods

Experience

 
 
 
 
 

AI Scientist - Research & Development

Qure.ai

July 2022 – Present Bengaluru, India
Developing Deep Learning Algorithms for the qCT-Lung product in the R&D team to detect early stage cancer from Lung CT scans

At Qure.ai, we employ deep learning to automatically generate diagnostic reports for disease diagnosis from CT scans, X-rays, and MRIs.
 
 
 
 
 

Research Internship

Natural Language Processing Lab, Virginia Tech

May 2021 – Feb 2022 Blacksburg, VA
Used external knowledge bases to prepare a benchmark for Natural Language tasks from wikiHow
 
 
 
 
 

Student Research Associate

Research & Development, IIT Kanpur

Jan 2021 – Feb 2022 Kanpur, India
Worked on an IIT Kanpur’s Industrial Collaboration project to prepare a ML backed predictive tool
 
 
 
 
 

Research Assistant

Stanford GSB

Jul 2020 – Oct 2020
Project Collaboration as part of Research Assistantship under IIM Ahmedabad. Worked with India based health startup.
 
 
 
 
 

Research Assistant

IIM Ahmedabad

Jul 2020 – Oct 2020
 
 
 
 
 

Summer Internship

IIM Ahmedabad

Apr 2020 – Jul 2020 Ahmedabad, India
Causally studied the effect of government crackdown on Airbnb hosts in Amsterdam who own multiple properties and disentangle the effect on service quality rating of hosts.

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