{"id":24081,"date":"2025-05-01T12:50:41","date_gmt":"2025-05-01T10:50:41","guid":{"rendered":"https:\/\/saarland-informatics-campus.de\/?post_type=sic_news&p=24081"},"modified":"2026-02-09T14:23:49","modified_gmt":"2026-02-09T13:23:49","slug":"lisa-marie-rolli-bioinformatics-at-sic","status":"publish","type":"sic_news","link":"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/lisa-marie-rolli-bioinformatics-at-sic\/","title":{"rendered":"Lisa Marie Rolli: Hotz Medalist on AI, Bioinformatics & Her PhD"},"content":{"rendered":"

Lisa Marie Rolli<\/a>\u2019s academic journey is one for the books.<\/span><\/h3>\n

What began as a spark of curiosity for chemistry and programming has led her to study Bioinformatics at Saarland University, where she started working as a research assistant in her early semesters. Throughout her Bachelor\u2019s and Master\u2019s education, she focused on reliability and interpretability in AI.<\/span><\/p>\n

Now a <\/span>PhD student at Saarland University on Saarland Informatics Campus, Lisa Marie was recently awarded the G\u00fcnter Hotz Medal for her Master\u2019s thesis on trustworthy machine learning, “Increasing Trust in Machine Learning-based Drug Sensitivity Prediction.” <\/span>In this interview, she reflects on her journey from Bachelor\u2019s to PhD, her award-winning thesis, the challenges she overcame, and why trustworthiness in AI matters more than ever.<\/span><\/p>\n

You\u2019ve completed your bachelor\u2019s, master\u2019s and are currently doing your PhD in Bioinformatics. What made you want to study Bioinformatics, and how has studying Bioinformatics at #SIC influenced your career journey?<\/b><\/span><\/h3>\n

\u201c<\/span>In the last two years of high-school, I participated in a program, which is called \u201cJuniorstudium<\/a>\u201d. It allowed me to take some university courses before officially having my A-levels.\u00a0 I didn\u2019t know what I wanted to study, but I thought I could go into a technical field or the natural sciences. My favorite subject in school was chemistry, so I started with a chemistry lecture \u2013 which was really nice!\u00a0 At the same time, a friend of mine had started studying Computer Science, and he convinced me to join the Programming 1 course. It was challenging, but I enjoyed it! It was very interesting to me.<\/span><\/p>\n

I still liked chemistry, though, so Bioinformatics<\/a> was the best of both worlds for me. And I liked it so much, I continued with the Master\u2019s program<\/a>.<\/span><\/p>\n

Studying at SIC was really nice because of the environment. Everyone helps each other, there\u2019s a strong collaboration culture. I had really good thesis supervisors for my Bachelor\u2019s thesis, who also hired me as a research assistant afterward. They wanted me to publish papers with them about our work, and they were enthusiastic about me doing my Master\u2019s thesis with them. It was a very welcoming, supportive environment, so, I started working here, and now I\u2019m in the PhD program.<\/span><\/p>\n

At the same time, I would say the program was challenging in a good way. I had to put in a lot of effort, but I liked it because I learned a lot. It was intellectually stimulating.<\/span>\u201d\u00a0<\/span><\/p>\n

You\u2019ve been recently awarded the G\u00fcnter Hotz Medal by the FDSI for your master\u2019s thesis, “Increasing Trust in Machine Learning-based Drug Sensitivity Prediction.” What made you pick your research topic and can you tell us more about your thesis?<\/b><\/span><\/h3>\n

\u201cDuring my Bachelor\u2019s, I started working at the Chair of Professor Lenhof. I did my thesis on anti-cancer drug sensitivity prediction, focusing on creating reliable predictions providing user-specified certainty guarantees of prediction correctness.<\/span><\/p>\n

The goal of anti-cancer drug sensitivity prediction is to develop machine learning models that can predict the efficacy of a drug treatment. These predictions could finally be used in a treatment recommendation system.. Obviously, if you want to use machine learning in medical applications, you can\u2019t trust any model; you have to make sure that the model complies with the highest degree of trustworthiness. For example, the model should fulfill specific certainty guarantees and the model should be understandable to humans, specifically for a medical doctor, so they can see how the efficacy predictions are made.<\/span><\/p>\n

During my time as research assistant, we focused on the trustworthiness in terms of interpretability and reliability of ML models for anti-cancer drug sensitivity prediction. We noticed that these concepts are largely understudied in the field.\u00a0<\/span><\/p>\n

At the moment, the research in the field mostly focuses on enhancing the prediction performance and not studying how trustworthy the model actually is.\u00a0<\/span><\/p>\n

Since we saw that there was a lack of interpretability research, in my Master\u2019s thesis, we designed a novel approach, which is way more interpretable than the other approaches in the field. We also compared its performance to state-of-the-art deep neural networks and it outperformed them.\u00a0<\/span><\/p>\n

For me, personalized medicine is really interesting, and doing research in this field feels super cool to me! I think trustworthiness in personalized medicine is extremely important. Nothing can be applied without trust. It\u2019s one of the most important aspects of this research area, so that\u2019s why I wanted to contribute to this.<\/span>\u201d<\/span><\/p>\n

What were some challenges you\u2019ve faced during your research, and how did you overcome them during your thesis?<\/b><\/span><\/h3>\n

\u201cWhen I started my thesis, I had a different topic. It was about predicting compound synergies, i.e., predicting if the drugs have a positive, antagonistic, or neutral effect on each other. I was very enthusiastic about it. My supervisors asked me to check model assumptions before actually starting, which made sense. I had to check if there was a positive correlation between the similarity of the drugs and the response. That was not the case \u2014 the results came out extremely scattered. The plots weren\u2019t displaying any correlation at all, not even a negative one. We tried to adapt the model without changing the thesis topic, but there was a point where none of my ideas worked out. Finally, my supervisors and I did not see another option than changing my subject.\u00a0 They helped me brainstorm, and eventually, I arrived at my final subject.\u00a0<\/span><\/p>\n

You might have an idea and think it\u2019s really nice, until you try it and it doesn\u2019t work out. There was this other time when we had an idea, but it made the runtime go over the roof. Several hours for prediction is not very feasible, is it? You have to discard ideas to get it to work faster \u2014 or for it to work at all. Sometimes you spend days just trying to get something to work. But sometimes, if it constantly fails, you need to accept it and move on to the next idea.\u00a0<\/span><\/p>\n

You have to be brave enough to say, <\/span>\u2018Okay, this isn\u2019t working, I need to start all over again.\u2019<\/span><\/i><\/p>\n

Of course, you always struggle with different things, it’s not only that. Our hard disk crashed at some point during my thesis, and for some reason, our backup died. Luckily, the University\u2019s technical support team recovered an old version I could work with.\u00a0<\/span><\/p>\n

Thankfully, I had a lot of help and support from my supervisor. I had a lot of support from my family and boyfriend as well, they would help get me up again when I felt low. All in all, I think you need that kind of mental support during this process. You just have to keep pushing through and hope it works out.<\/span>\u201d<\/span><\/p>\n

What are you currently doing?<\/b><\/span><\/h3>\n

\u201cRight now, I\u2019m doing a PhD at the Chair of Professor Volkamer funded by an EU (European Union) project called<\/span>\u00a0RADAR<\/a>. Similar to what I did before, I\u2019m focusing on trustworthy machine learning. The goal of RADAR is to develop new plastic alternatives through sustainable roots and using biomass instead of fossil fuels to create compounds.\u00a0<\/span><\/p>\n

I\u2019m in the Hazard Assessment Team, where I do toxicity predictions for different toxic endpoints in human cells, the environment, and animals. I was especially interested in the project because of its focus on chemistry, which I didn\u2019t get to explore very often during my studies. That really piqued my interest. Plus, I think it\u2019s a really important project, and it would be amazing if it succeeds! I\u2019m happy to be contributing to it.<\/span>\u201d\u00a0<\/span><\/p>\n

Why did you choose to study at #SIC? What sets #SIC apart for you in terms of research opportunities, as well as academic and professional development?<\/b><\/span><\/h2>\n

\u201c<\/span>I first chose to study here because it was the closest university to where I lived, and I had already heard good things about the Computer Science department. I started studying here after my Juniorstudium and really liked it! Later in my studies, I did some Erasmus exchanges and realized that this university is <\/span>really<\/span><\/i> great.<\/span><\/p>\n

Personally, I really like the teaching style here. There are also so many research opportunities \u2014 you can get involved really early, even during your Bachelor\u2019s. I started working as a research assistant in my third semester at the Chair of Software Engineering. After my bachelor thesis, I continued as a research assistant at the Chair of Bioinformatics, and I\u2019m still in the same office!<\/span><\/p>\n

I feel like the professors here genuinely want you to join their research team. They try to support your career goals and provide you a huge variety of opportunities to help you grow professionally. They\u2019re also extremely helpful while you write your thesis, and if you contribute to a project, you\u2019re always credited on the paper. They really push you toward excellence.<\/span>\u201d\u00a0\u00a0<\/span><\/p>\n

What advice would you give to young women who want to go into the field of Bioinformatics and to prospective #SIC students?<\/b><\/span><\/h3>\n

\u201c<\/span>In the beginning, the transition from school to university is a big leap. It\u2019s super hard to adapt \u2013 it\u2019s a challenge. Go into it knowing that, but also know it will get better. Having your friends and family makes a huge difference too. Talking to people really helps\u2026 Try to form study groups, collaborate with others, and don\u2019t go through everything alone. Everyone struggles, but it\u2019s better to struggle in a group rather than alone.\u00a0<\/span><\/p>\n

The first lectures can be difficult, but once you get the hang of them, you manage to get through the rest. I also recommend that everyone take full advantage of the teaching opportunities here \u2014 the course tutors want to help you. Don\u2019t get too frustrated if your code or project doesn\u2019t work right away. If you run into bumps in your career, don\u2019t stress over them too much. Everything will turn out okay.<\/span><\/p>\n

Generally, I would say make the most of this positive environment. If you\u2019re offered a tutoring position for example, I think it\u2019s worth giving it a shot. Chasing these opportunities is really important.<\/span><\/p>\n

To young women: If you think Bioinformatics is the right choice for you, don\u2019t let anything stand in your way – I can recommend coming here.\u201d\u00a0<\/span><\/span><\/p>\n

Interested in the Bioinformatics study program at Saarland University on Saarland Informatics Campus? Get more information here<\/a>. Applications for the master’s program<\/a> for Winter Semester 25\/26 will be open until May 15th!<\/em><\/p>\n

To get acquainted with how Saarland University supports young female scientists, take a look at the page of the Gender Equality Office<\/a>.<\/em><\/p>\n

Editor:<\/strong>
\nSaarland Informatics Campus Team
\nEmail: yagmur.akarsu@uni-saarland.de<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Lisa Marie Rolli’s academic journey is one for the books. What began as a spark of curiosity for chemistry and programming has led her to study Bioinformatics at Saarland University, where she started working as a research assistant in her early semesters. 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