Public profile
Research areas
Computational biology, machine learning and statistical methods, disease genomics, biological data visualization
Computer Science
Vicky Yao
Assistant Professor of Computer Science
Member, Ken Kennedy Institute
Average rating
3.5
10 temporary mock ratings
Difficulty
2.7
course-linked average
Courses
5
in seeded sections
Courses taught
COMP 341
Practical Machine Learning
This course teaches practical skills for using machine learning models. Students will learn how to apply ML algorithms to real world problems from data collection to the final step of reporting findings. Topics covered include: data augmentation, bias detection, feature engineering, efficient tuning and training, model interpretation, and data storytelling. Recommended Prerequisite(s): MATH 355/354/CAAM 335/CMOR 302, STAT 310/315/DSCI 301
Computer ScienceNone3 credits
3.46.5hYao, Vicky
COMP 490
Computer Science Projects
Theoretical and experimental investigation under staff direction. Repeatable for Credit.
Computer ScienceNone1-4 credits
4.06.7hAllen, Genevera, Byrne, Michael, Cox, Alan L., Ferreira Flores, Rodrigo, Goldman, Ron, Hang, Kaiyu, Joyner, Mack, Kyrillidis, Tasos, Mamouras, Konstantinos, Myers, Risa, Patel, Ankit, Schreib, Rebecca, Shrivastava, Anshumali, Tunnell, Chris, Unhelkar, Vaibhav, Wang, Yuke, Xing, Jiarong, Yao, Vicky
COMP 590
Computer Science Projects
Advanced theoretical and experimental investigations under staff direction. The student must have a full-time internship to receive 4 credits for this course. Repeatable for Credit.
Computer ScienceNone1-4 credits
3.45.7hAliakbarpour, Maryam, Baraniuk, Richard G, Chen, Hanjie, Chia, Nai-Hui, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Jermaine, Christopher, Joyner, Mack, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Myers, Risa, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Rixner, Scott, Shrivastava, Anshumali, Simar, Ray, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Wang, Yuke, Warren, Joe D., Wei, Chen, Wong, Stephen, Xing, Jiarong, Yao, Vicky
COMP 800
Graduate Research
Repeatable for Credit.
Computer ScienceNone1-15 credits
4.28.5hAliakbarpour, Maryam, Braverman, Vladimir, Chen, Hanjie, Chia, Nai-Hui, Cooper, Keith, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Hu, Ben, Jermaine, Christopher, Johnson, Dave, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Phillips, George, Rixner, Scott, Shrivastava, Anshumali, Subramanian, Devika, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Varman, Peter, Wallach, Dan S., Wang, Yuke, Warren, Joe D., Wei, Chen, Xing, Jiarong, Yao, Vicky
SSPB 800
Graduate Research
Graduate students will conduct independent research/thesis project under the direction of their advisor. Repeatable for Credit.
Systems/Synthetic/Phys BiologyNone1-15 credits
3.35.8hAjo-Franklin, Caroline, Alvarez, Pedro, An, Linna, Bao, Gang, Bashor, Caleb, Bennett, Matthew, Butts, Jessica, Chappell, James, Dai, Mingjie, de Moraes, Marcos, Diehl, Michael, Gao, Yang, Glasscock, Cameron, Gollihar, Jimmy, Gustavsson, Anna-Karin, Hilton, Isaac, Igoshin, Oleg, Iyer, Harini, Kalluri, Raghu, Kavraki, Lydia, Kiang, Ching-Hwa, Kimmel, Marek, Kirienko, Natasha, Kolomeisky, Anatoly, Lavery, Laura, Li, Lei, Lieberman-Aiden, Erez, Loveless, Theresa, Lu, George, Luan, Lan, Ma, Yuan, MacKintosh, Frederick, Masiello, Carrie, Mou, Quanbing, Nakhleh, Luay, Nikonowicz, Edward, Onuchic, Jose, Phillips, George, Raphael, Rob, Renata, Hans, Robinson, Jacob, Segatori, Laura, Shamoo, Yousif, Silberg, Joff, St. Pierre, Francois, Stadler, Lauren, Szablowski, Jerzy, Tabor, Jeffrey, Tang, Evelyn, Tao, Yizhi, Thyer, Ross, Treangen, Todd, Uribe, Rosa, Veiseh, Omid, Vlassakis, Julea, Warmflash, Aryeh, Wolynes, Peter, Xiao, Han, Xie, Chong, Yao, Vicky