I'm Antara Titikhsha. I develop machine learning and computer vision tools to study emergency medicine and human perception at Carnegie Mellon University (CMU) 

Research Projects: Emergency medicine:

Human Perception: 

Human-Aligned Generative Perception: Bridging Psychophysics and Generative Models [work in progress]

Research Areas:  Deep Learning, Machine Learning, Vision Perception, Trustworthy AI, Computational Neuroscience and Neural Engineering.

Before moving to the US, I was a lecturer of Computer Science at Asian University for Women (AUW). I graduated from Asian University for Women (AUW) in May, 2021 with a BS degree in Bioinformatics,  double minors in Computer Science & Mathematics, where I also completed a pre-med track. In my senior year, I studied Neural Engineering at Yale University as a guest student, and studied Neuroscience at Cornell University as a part of an exchange program. During my time at AUW, I conducted research incorporating AI, Computer Vision and Computational Neuroscience together. Besides, I did AI Engineering at Intelligent Machines, a fast-growing AI start-up in Bangladesh. Additionally, I was the first President and mentor at AUW AI Society where I mentored (and I co-advise now) a diverse group of students so that they can start their journey in AI. I also served as a Managing Editor & Web Editor for AUW's campus newspaper The Echo AUW.

In a previous life, I was a sport programmer, a managing editor for campus newspaper and a classical singer. Outside of research, I'm an avid reader, artist, writer and coffee enthusiast.