update work

Author: codez266

_pages/about.md

@@ -30,7 +30,7 @@ latest_posts:
   limit: 3 # leave blank to include all the blog posts
 ---
 
-Thank you dear visitor for stopping by! I am a final year PhD candidate at University of Michigan, Ann Arbor. My research focus and interests are at the intersection of Machine Learning and Human-Computer Interaction (HCI).
+Thank you dear visitor for stopping by! I am an Applied Scientist at Microsoft. I finished my PhD in Human-centered AI from the University of Michigan, Ann Arbor. My research focus and interests are at the intersection of Machine Learning and Human-Computer Interaction (HCI).
 
 I develop adaptive AI systems that <span style="color:deeppink;">enable people to reason under risk and uncertainty in complex decision-making scenarios</span> by modeling their underlying decision processes and not just their observable behaviors. For example, in education, inferring students' conceptual gaps requires reconstructing their mental models from their learning trajectories, not just identifying surface-level mistakes. I borrow from <span style="color: deeppink">cognitive science and probabilistic machine learning</span> to design AI with experts' mental model to improve Human-AI interaction. By modeling people's latent cognitive states, my methods <span style="color: deeppink">improve reasoning of AI systems beyond observed behaviors</span>, improving overall learning efficiency and accuracy. I bring in strong computational and model building skills from my prior industry experience to build systems for Human-AI interaction and my training in HCI allows me to conduct large scale evaluations in people's work context for improving these systems. For example, I recently built a bayesian network from a massive dataset of 3M Census records to model personal preferences and used it to study the design of personalization agents that respect users' privacy. I also have strong Reinforcement Learning (RL) foundations that I have applied to model human behavior, which positions me well to explore <b>RL-based fine-tuning of LLMs</b>. For instance, I developed a <a href="{{ site.baseurl }}/projects/project_modeling_indoor_behaviors" target="_blank">deep RL system <i class="fa-solid fa-link"></i></a> from scratch to simulate indoor human behavior and COVID-19 transmission dynamics, demonstrating how RL can capture and reason about complex behavioral patterns. The following three broad directions describe my research focus and future vision.