cv

Basics

Name Zoher Kachwala
Label PhD Candidate in Computer Science
Url https://zoher15.github.io/
Summary I am interested in the potential of local knowledge graphs like AMRs to complement the strengths of LLMs. I currently work on efficient graph-based methods for NLP that bridge the gap between language understanding and structured knowledge.

Education

  • 2021.08 - 2025.05

    United States

    Doctor of Philosophy
    Indiana University Bloomington
    Computer Science
    • Introduction to Statistics
    • Algorithms Design and Analysis
    • Introduction to Complex Systems
    • Network Science
    • Gender and Computerization
    • Advanced Seminar in Complex Systems
    • Knowledge Based Artificial Intelligence
    • Deep Learning Systems
  • 2019.08 - 2021.05

    United States

    Master of Science
    Indiana University Bloomington
    Data Science
    • Data Mining
    • Advanced Database Concepts
    • Exploratory Data Analysis
    • Management, Access and Use of Big Data
  • 2017.08 - 2019.05

    United States

    Master of Science
    Indiana University Bloomington
    Computer Science
    • Elements of Artificial Intelligence
    • Machine Learning
    • Applied Algorithms
    • Computer Networks
  • 2015.05 - 2015.08

    France

    Summer School
    Institut Mines-Télécom
    Information Technology In Europe
  • 2013.08 - 2017.05

    India

    Bachelor of Technology
    NMIMS University
    Computer Engineering

Publications

Work

  • 2022.08 - 2024.12
    Assistant Instructor
    Introduction to Network Science by Filippo Menczer (Indiana University)
    A class introducing the basics of Network Science, from understanding nodes and edges to analyzing Twitter networks
    • Developed and conducted coding-based network science tutorials to reinforce theoretical concepts in class
  • 2020.08 - 2020.12
    Assistant Instructor
    Applied Machine Learning by Xuhong Zhang (Indiana University)
    A class focused on applications of Machine Learning, from unsupervised to supervised algorithms
  • 2019.08 - 2021.12
    Assistant Instructor
    Elements of Artificial Intelligence by David Crandall (Indiana University)
    A class introducing the basics of Artificial Intelligence, from search algorithms to neural networks
    • The most popular graduate course with over 300 students
    • Designed a pytest-based autograder to keep up with the grading load of hundreds of graduate students
  • 2018.08 - 2019.05
    Part-Time Data Analyst
    Kinsey Institute for Research in Sex, Gender, and Reproduction
    Worked with the Socioneural Physiology Lab
    • Optimized and streamlined vocal prosody analysis from audio recordings to use as an index of neurophysiology
    • Developed a data analysis pipeline for execution on super-computing clusters
  • 2018.05 - 2018.08
    Technology Consultant Intern
    PricewaterhouseCoopers
    Deployed within PwC Financial Services & Insurance to implement an Agent Portal for SECURA Insurance, Wisconsin
    • Worked as part of the Project Management Office to implement an Accelerated Agile Software Development Model
    • Coordinated with Business Analysts, Quality Analyts and Developers to deliver a Staffing and Effort Estimate for Release 2 of the project.
    • In recognition of my work, received an offer from PwC to join as a Full-Time Technology Consultant
    • In recognition of my experience, received an offer from Deloitte to join as a Full-Time Technology Analyst
  • 2018.01 - 2018.05
    Part-Time Software Tester
    University Information Technology Services
    Worked with Indiana University Information Technology Agile Team for Software Development
    • Worked on Indiana University's student-facing web applications like IU Meal Plan and IU FlexPay
    • Conducted functional, accessibility, penetration and regression testing on web interfaces

Awards

  • 2024.03.01
    Research Computing Award
    NSF Jetstream2
    High-performance computing resources worth $160,550
  • 2021.12.05
    Complex Networks and Systems National Science Foundation Research Summer Fellowship
    NSF-NRT Interdisciplinary Training in Complex Networks and Systems (CNS-NRT)
    Trainees learn to connect the general-purpose, computational expertise of CNS to the deep, domain-specific research methodologies of the natural, behavioral, and social sciences thus bridging the gap between distinct training cultures
  • 2020.01.01
    Knight Fellowship
    Knight Foundation
    Cross-disciplinary research centers and projects that fill knowledge gaps on how society is informed in the digital age
  • 2018.10.01
    Newmark Fellowship
    Craig Newmark

Volunteer

  • 2024.03 - 2024.03
    Reviewer
    PeerJ Computer Science
  • 2020.01 - 2024.05
    Ambassador
    Luddy School of Informatics, Computing, and Engineering
    Help coordinate visits and answer questions for prospective students
  • 2020.01 - 2022.12
    Representative of the Computer Science Department
    Indiana University Graduate & Professional Student Government
    A university body advocating for an inclusive and empowered graduate student community
  • 2019.02 - 2019.02
    Talk
    Duke Reporter's Lab
    A talk on fact-checking with knowledge graphs at the Tech & Check Conference 2019
  • 2017.03 - 2017.03
    Delegate
    Harvard World Model United Nations Conference Montreal 2017
    Delegate for the Kingdom of Cambodia
    • An address by Peter Schiefke the Parliamentary Secretary for Youth to the Prime minister of Canada
  • 2016.03 - 2016.03
    Delegate
    Harvard World Model United Nations Conference Rome 2016
    Delegate for the Kingdom of Lesotho
    • An address by Pope Francis to all participants of the conference

Languages

Gujarati
Native speaker
English
Native speaker
Hindi
Fluent