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I am Jane Doe, a fourth-year undergraduate student pursuing Computer Science at Tech University. My research interests focus on the intersection of Machine Learning, Human-Centric AI, and Ethical AI Considerations.

I am currently involved with the Innovative Research Lab (IRL), where my work centers on developing advanced AI solutions with an emphasis on ethical implications and user-centered design. My research has been featured in conferences such as NeurIPS'24, and I am working on papers for ICML'25, CVPR'25, and various academic journals.
Outside of my research, I have extensive experience in educational technology and digital content creation, having contributed to projects at LearnTech Solutions and EduWorld.

I am currently seeking opportunities in the fields of Machine Learning and Ethical AI. I am known for being a fast learner and highly adaptable, with proven skills in leading projects and teams. I thrive on exploring new challenges, sharing insights, honing skills, experimenting with innovative techniques, and expanding my horizons.

LinkedIn | GitHub | Google Scholar | ORCID

Research Interests

• 🔬 Bioinformatics and AI: Applying AI techniques to bioinformatics for better understanding of genetic data and molecular biology.
• 🌍 Climate Change Modeling: Using AI to model and predict climate change impacts, and develop mitigation strategies for environmental sustainability.
• 🧠 Cognitive Computing: Investigating AI systems that simulate human cognitive processes to enhance learning, problem-solving, and decision-making capabilities.
• 📊 Predictive Analytics: Leveraging AI to develop predictive models for various industries, including finance, healthcare, and marketing.
• 🤖 Human-Robot Interaction: Studying the interaction between humans and robots to improve collaboration, communication, and productivity in robotics applications.

News and Updates

• December, 2024 : Received the Outstanding Research Contribution Award at the International Conference on AI and Ethics!
• November, 2024 : Published a paper on "Ethical Considerations in AI Deployment" in the Journal of AI Research.
• October, 2024 : Presented at the Global Summit on Human-Centric AI, discussing the future of adaptive learning systems.
• September, 2024 : Promoted to Research Assistant in CIOL!
• August, 2024 : One paper submitted to EMNLP'24!
• July, 2024 : Featured in the "Top 30 Under 30" list by Tech Innovators Magazine.
• June, 2024 : Conducted a workshop on "Advancements in Computational Social Science" at the National AI Conference.
• May, 2024 : Completed a successful collaboration with TechCorp on "AI for Sustainable Development" project.
• April, 2024 : Released a new open-source tool for ethical AI assessments on GitHub.
• March, 2024 : Three papers on Human-AI Interaction accepted to CHI'24 (The ACM CHI Conference on Human Factors in Computing Systems, 2024): In2Writing and HEAL Workshops!

Experience

• Innovative AI Solutions
  Senior AI Researcher | Mar 2023 - Present (Full-time, Hybrid)
  (Previously served as AI Research Associate and Junior Data Scientist for 1 year)
  At Innovative AI Solutions, I specialize in developing cutting-edge machine learning models and deploying AI solutions in healthcare and finance. My work involves leading research projects, mentoring junior researchers, and collaborating with industry partners.
• FutureTech Design
  UI/UX Designer | Jun 2022 - Present (Part-time, Remote)
  Created and implemented user interfaces for mobile and web applications, focusing on enhancing user experience and accessibility. Worked on various projects ranging from e-commerce platforms to educational tools, utilizing tools like Figma and Adobe XD.

Experience

• EduTech Labs
  Content Developer | Jan 2021 - Dec 2022 (Part-time, Remote)
  Developed over 200 educational modules and interactive learning materials for students and educators. Collaborated with subject matter experts to ensure the accuracy and relevance of content, using tools such as Articulate Storyline and Google Classroom.
• Global Legal Services
  Legal Assistant | Sep 2021 - Nov 2021 (On-site)
  Assisted in drafting legal documents, conducting research, and managing case files. Gained experience in legal research, client interactions, and case preparation.

Publications

1. Exploring Biases in Low-Resource Languages Using Transformer Models
   Alex Johnson, Emily Davis, Chris Taylor, Jordan Lee
   Accepted in The 2nd Workshop on Advances in NLP for Low-Resource Languages at ACL 2024
   Read more: arXiv
2. Exploring Biases in Low-Resource Languages Using Transformer Models
   Alex Johnson, Emily Davis, Chris Taylor, Jordan Lee
   Accepted in The 2nd Workshop on Advances in NLP for Low-Resource Languages at ACL 2024
   Read more: arXiv
3. Exploring Biases in Low-Resource Languages Using Transformer Models
   Alex Johnson, Emily Davis, Chris Taylor, Jordan Lee
   Accepted in The 2nd Workshop on Advances in NLP for Low-Resource Languages at ACL 2024
   Read more: arXiv

Active Projects

1. Examining Australian Bias in Large Language Models
   Investigating Australian bias in LLMs.
2. Examining Australian Bias in Large Language Models
   Investigating Australian bias in LLMs.

Skills

• Data Analysis and Collection: Python and MS Excel for Data Analysis, Data Labelling, Survey Design and Data Collection
• G-Suite Tools: Google Docs, Sheets, Slides, Drive
• Academic Content Development: Slides, Notes, Books
• Soft Skills: Communication, Teamwork, Creativity, Time Management, Problem Solving, Adaptability
• Languages: Fluent in Bangla and English

Prizes and Awards

• Top Performer, 2022 | Global Legal Services
• Consistently placed on the Vice Chancellor's list for the past three semesters
• Previously placed on the Dean's List and Dean's Merit List