Current instructor

Sushmita Roy

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.00/5 from 2 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

576 · course not matched
Quality 4/5Difficulty 1/5
It is easy for cs students like me. For those who are in biology... I am not sure how you feel. The course is a quite useful intro course for people who want to do research in bioinformatics.
Rate My Professors ↗
BMI/COMPSCI 576
Quality 2/5Difficulty 4/5
Don't take this class unless you have previous algorithms, statitstics and biology courses. She doesn't explain the algorithms well enough to understand and examples in the slides are not present. If you ask a question, prepare to get into an argument with her about why you don't understand. Midterm is also very difficult, not enough time.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Sushmita Roy

BMI 699 is an independent study course allowing students to pursue directed study beyond the standard curriculum.

Offering recorded · Fall 2026

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=2 letter grades).

historical GPA · grades

Spring 2022–Spring 2022 · limited sample

BECOMING A BIOMEDICAL DATA SCIENTIST teaches interdisciplinary research methods and career planning at the biomedical and data science interface.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2024: 3.93 GPA, 95.5% A/AB (n=22 letter grades); Fall 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades). Includes jointly taught sections.

historical GPA · grades

Fall 2024–Fall 2025 · limited sample

BMI 899 is a pre-dissertator research course for graduate students preparing for dissertation work.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

historical GPA · grades

Spring 2022–Spring 2026 · limited sample

Computational Network Biology introduces networks as representations for biological and biomedical systems, covering graph-theoretic theory and algorithmic applications.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2023: 3.64 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.81 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.75 GPA, 95.5% A/AB (n=22 letter grades). Includes jointly taught sections.

historical GPA · grades

Fall 2022–Fall 2025 · limited sample

COMPSCI 699 offers directed study projects for junior and senior students arranged with a faculty member.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026
GENETICS 990

Research

1–12 credits

GENETICS 990 is a research course where students conduct independent laboratory research under faculty supervision to prepare a graduate thesis.

Offering recorded · Fall 2026

No recorded grade history

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026BMI 699Independent Study
Fall 2026BMI 800Becoming a Biomedical Data Scientist
Fall 2026BMI 899Pre-dissertator Research
Fall 2026BMI 990Dissertator Research
Fall 2026BMI/COMPSCI 775Computational Network Biology
Fall 2026COMPSCI 681Senior Honors Thesis
Fall 2026COMPSCI 699Directed Study
Fall 2026COMPSCI 790Master's Thesis
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 990Dissertation
Fall 2026GENETICS 990Research

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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