Professor
Diana Rigueur
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Most Helpful Review
Spring 2022 - This class is very difficult, but it doesn’t help that the “MCDB 138 Team,” which is composed of 2 professors and 3 TAs, give inconsistent answers. When I ask questions, the professors give contradictory statements regarding class material (for example, if something is true or false). The questions on the assessments are often very poorly worded and it’s never easy to understand what’s exactly being asked.
Spring 2022 - This class is very difficult, but it doesn’t help that the “MCDB 138 Team,” which is composed of 2 professors and 3 TAs, give inconsistent answers. When I ask questions, the professors give contradictory statements regarding class material (for example, if something is true or false). The questions on the assessments are often very poorly worded and it’s never easy to understand what’s exactly being asked.
Most Helpful Review
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
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Most Helpful Review
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
Most Helpful Review
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
Fall 2025 - Overall I think I had a love-hate relationship with this class. You go through a lotttt of material (especially before the midterm) but it is very interesting content, albeit hard to remember all the proteins you learn. Dr. Rigeuer is a very kind and approachable prof and I liked how she lectures and the overall atmosphere of the class. For discussion sections, we would read a paper each week and then talk about it and do a homework assignment answering some questions about it. They switched teaching styles a few week into the quarter which was a bit jarring, but not too bad (from the TA just going over the paper's methods and figures to having students break into groups and each group explains a figure to the class; they also started doing separate videos going over the methodology that we were supposed to watch before discussion, but they never actually told us about the videos or told us when they were uploaded which was pretty annoying). Luckily, the papers were not tested on in the exams, because some were a bit hard to understand. I also definitely would not recommend taking this class before you take MCDB 165A or 138, because we sort of just jumped straight into the papers vs for the other classes (at least with the profs I had, Sagasti and Farmer) they walked us through how to read and understand papers. I think I have only two actual qualms with this class. First, the midterm is very very hard and stressful. It was about 50 FRQS (about 35ish short responses aka a couple words or a sentence, and about 15 longer data interpretation questions) in the class time of 75 minutes so it was a very big time crunch. I barely finished everything, and I know many people did not even finish. The test was open note, but ofc with the timing that wasn't super feasible. Luckily yhis isn't the case with the final, because it was online and untimed, with multiple days to do it. The next thing I didn't like about that class was uncertainty about grading. Before the midterm, Dr Rigeuer said that if you pass both the MT and final, the higher score can replace the other. Then after the midterm, she said even if you got a 0 on the MT, the final would replace it (she implied that it doesn't go the other way around, the MT replacing the final, but she never actually said that so even now I still don't know if it could). She said this was in the syllabus but I read through it a few times after that and this grading scheme is never mentioned. Additionally, as of the time I'm writing this, we never got our final exam grade back so I don't know how I did on it, just what my final grade in the class is. In the syllabus she says the lowest HW and quiz grades are dropped but this wasn't reflected in Canvas like I've experienced with other classes; I'm assuming they did that when calculating the final grades to submit but it would've been nice to actually see it. The syllabus also says the person with the top grade in the class gets their grade bumped up to 100%, and everyone else gets their grade bumped up the same amount, but again they never actually showed them doing this and didn't make an announcement about it or anything, so I have no clue if that actually happened. However, I think it is safe to say that Dr Rigeuer does care about her students' learning and their grades, and I think she does try to give as many people an A as she can. So, overall a tough class but a rewarding one (if you like molbio) and you will ultimately end up okay in the end. Grading breakdown: 10% Discussion attendance 25% Homework 10% Quizzes (started online but they found people using AI so they moved to in person; data interpretation questions that can be a bit tricky if you don't understand the data they present but overall not horrible) 25% Midterm 30% Final
Most Helpful Review
Fall 2025 - Dr. Riguer is an amazing professor and cares deeply about her students. I found her lectures very entertaining, and would take her class again. I will say be weary of her exams because even though they are open note/book, you will not do well if you do not understand the material. Fortunately, she is very helpful and with effort you will at the least get a B.
Fall 2025 - Dr. Riguer is an amazing professor and cares deeply about her students. I found her lectures very entertaining, and would take her class again. I will say be weary of her exams because even though they are open note/book, you will not do well if you do not understand the material. Fortunately, she is very helpful and with effort you will at the least get a B.
Most Helpful Review
Winter 2023 - Dr. Rigueur is an outstanding professor whose passion for research and biology shines through in every lecture. I have taken her MCDB 144, MCDB 180A, and MCDB 180B courses, and she has significantly enriched my learning experience by fostering an engaging, supportive, and enriching learning environment. From the beginning, she made me feel welcomed by ensuring that every student, including myself, was recognized and included during class discussions. Dr. Rigueur's lecture style emphasizes collaboration and teamwork, particularly through peer-editing papers, which encouraged us to voice our honest feedback to improve. As a result, I have seen significant growth in my communication and scientific writing skills. The material assigned outside of class was thoughtfully designed. It was rigorous, but manageable which allowed me to growth as both a student and researcher without feeling overwhelmed. Under Dr. Rigueur's guidance, I improved my ability to read and comprehend primary literature which built confidence, and prepared me for graduate school. Overall, I greatly enjoyed this class due to Dr. Rigueur's enthusiasm, passion, and expertise across multiple fields of biology. Not only did she teach the material effectively, but she also cultivated a supportive community that inspired growth and enthusiasm for science.
Winter 2023 - Dr. Rigueur is an outstanding professor whose passion for research and biology shines through in every lecture. I have taken her MCDB 144, MCDB 180A, and MCDB 180B courses, and she has significantly enriched my learning experience by fostering an engaging, supportive, and enriching learning environment. From the beginning, she made me feel welcomed by ensuring that every student, including myself, was recognized and included during class discussions. Dr. Rigueur's lecture style emphasizes collaboration and teamwork, particularly through peer-editing papers, which encouraged us to voice our honest feedback to improve. As a result, I have seen significant growth in my communication and scientific writing skills. The material assigned outside of class was thoughtfully designed. It was rigorous, but manageable which allowed me to growth as both a student and researcher without feeling overwhelmed. Under Dr. Rigueur's guidance, I improved my ability to read and comprehend primary literature which built confidence, and prepared me for graduate school. Overall, I greatly enjoyed this class due to Dr. Rigueur's enthusiasm, passion, and expertise across multiple fields of biology. Not only did she teach the material effectively, but she also cultivated a supportive community that inspired growth and enthusiasm for science.
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