ABOUT ME
I conduct research at the intersection of machine learning, natural language processing, and online information ecosystems. My work focuses on social media, responsible AI crawling, and age-based controls.
My research also explores methods to improve the efficiency and scalability of language models. These approaches enable AI systems to perform effectively in resource-constrained environments and low-resource language settings, helping expand access to reliable AI technologies.
Earlier in my career, I applied machine learning and data science across domains such as supply chain optimisation, mobile platforms, and education, translating complex data into actionable insights. This combination of research rigor and applied systems experience allows me to address both theoretical challenges and practical problems, bridging academic research and real-world impact.
Alongside my research work, I have extensive experience in teaching and professional training, designing and delivering workshops, executive programmes, and technical upskilling initiatives in AI, NLP, and data science. I enjoy helping teams and learners translate complex concepts into practical outcomes.
I am passionate about developing trustworthy, efficient, and inclusive AI systems while fostering learning, collaboration, and responsible innovation.
Research Interests
- Hate Speech & Misinformation Analysis
- Low-Resource Languages
- Model Compression
- Responsible AI Crawling
- Age-based controls on social media
Contact
Function
Postdoctoral Researcher
Mail: sonal.khosla@hpi.de