
Timeline
About me
Ph.D. Student at Rice University
Education

Srm university
-Bachelor of technology (b.tech.) computer science engineeringAdvised by Dr. Annie Uthra

City montessori school
-Middle and high school
Massachusetts institute of technology
-Electrical engineering and computer scienceAdvised by Dr. P.H. Winston

Rice university
-Doctor of philosophy - phd computer scienceAdvised by Dr. Vicky Yao
Experience

Mecura
Apr 2014 - Jun 2016FounderCo-founded a website to implement an Electronic Medical Record-keeping System. The company aims to aid in the ongoing automation of the healthcare industry,currently underway in India.

Hewlett packard enterprise
May 2015 - Jun 2015Student traineeHad training in Java 2 Enterprise Edition- learnt about the Struts and Hibernate frameworks. Built a running project implementing an online shopping portal as a final project.

Cisco
Jun 2015 - Jul 2015Student internshipPrimarily worked in sales and management positions, in the process understanding the infrastructure and hierarchies of MNC's like Cisco.
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Mit computer science and artificial intelligence laboratory (csail)
Mar 2016 - Jul 2016Undergraduate student researcherWorked on an independent project aimed at enabling medical diagnosis through story understanding using the Genesis system at MIT. I was advised by Professor P.H. Winston of the Computer Science and Artificial Intelligence Laboratory (CSAIL).

Voonik
Dec 2016 - Jun 2017R&d internI was a part of the R&D team as a machine learning engineering intern and developed a Real Time Recommendation engine.

Indian institute of management, lucknow
Jul 2017 - Aug 2017InternWas part of a remote internship under Professor Sameer Mathur of IIM-Lucknow. The internship focused on teaching data analytics with managerial applications, primarily using the R programming language.

Fujifilm business innovation asia pacific
Sept 2017 - Oct 2020Developed predictive models for early detection of disease by using observational electronic health records from intensive care units (ICUs). Missing data imputation, temporal modeling and causal inference formed the primary focus of research. Also have experience working with causal recommender models and multi-armed bandits [see Publications]. Worked as a researcher after being selected for a fellowship (Visiting Fellow Scholarship Program). Focussed on developing interpretable NLP models, specifically, modifying encoder-decoder models with policy gradients to extract plausible explanations of review ratings.Upon successful completion of the project, results were presented and led to a full-time offer at the core research lab of the same company.
Research Scientist
Sept 2018 - Oct 2020Research Fellow
Sept 2017 - Aug 2018

富士フイルム株式会社
Nov 2020 - Jun 2022Research scientist-iiFocused on developing simulation models and machine learning algorithms for genomics data for disease diagnosis.

Rice university
Aug 2022 - nowGraduate research assistant
Licenses & Certifications
- View certificate

14.310fx: data analysis in social science-assessing your knowledge
Mitx coursesMay 2019 - View certificate

6.431x: probability - the science of uncertainty and data
Mitx coursesSept 2019 - View certificate

18.6501x: fundamentals of statistics
Mitx coursesDec 2019 - View certificate

6.86x: machine learning with python-from linear models to deep learning
Mitx coursesSept 2019 
Hp summer training- j2ee
Hewlett packard enterpriseJun 2015
Honors & Awards
- Awarded to Janmajay SinghOutstanding Research Award Fuji Xerox Jun 2021 Awarded to ~10 of 300 members of the R&D department for notable projects taken from problem identification to completion (i.e. a technical report, patent and/or research paper).
- Awarded to Janmajay SinghBest Oral Presentation at the Physionet 2020 Challenge Computing in Cardiology (CinC) Sep 2020 In collaboration with the Technion, Israel and École Polytechnique, France. Details: https://cinc.org/physionet-cinc-challenge-awards/
- Awarded to Janmajay SinghOutstanding Research Award Fuji Xerox Jun 2020 Awarded to ~10 of 300 members of the R&D department for notable projects taken from problem identification to completion (i.e. a technical report, patent and/or research paper).
- Awarded to Janmajay SinghRank 5 in the Physionet 2019 Challenge Physionet Sep 2019 Led the team which finished 5th of 120 teams worldwide in the Physionet 2019 Challenge. The task of this challenge was to build Machine Learning models for early prediction of Sepsis. Model performance was measured by a custom metric called Utility Score.Details: https://physionet.org/content/challenge-2019/1.0.0/
Languages
- enEnglish
- jaJapanese
- hiHindi
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