Professor Larisa Soldatova

Larisa joined Goldsmiths in November 2017 as director of the online Masters in Data Science programme.

Staff details

Position

Reader in Data Science

Department

Computing

Email

l.soldatova (@gold.ac.uk)

Larisa joined Goldsmiths in November 2017 as director of the online Masters in Data Science programme.

Larisa is an internationally recognized expert in AI, particularly in discovery science, reasoning, knowledge representation and semantic technologies. She leads in Goldsmiths the EPSRC-funded project ACTION on cancer aiming to develop an AI system to assist in recommending personalized cancer treatments.

The project is in partnership with the University of Manchester and has a funding total of over £1,300,000.

Larisa is also working on the Robot Scientists project, which investigates what processes of scientific discovery can be automated and how robotic and human scientists can work together.

The Robot Scientist Adam was the first system that made an autonomous scientific discovery.

Larisa is involved in a number of international projects on the development of semantic standards, e.g. Machine Learning Schema, Robotics Task Ontology Standard, Laboratory Protocols EXACT.

Publications and research outputs

Article

Establishing predictive machine learning models for drug responses in patient derived cell culture Abdel-Rehim, Abbi; Orhobor, Oghenejokpeme I.; Griffiths, Gareth; Soldatova, Larisa N ORCID logo ; and King, Ross D.. 2025. Establishing predictive machine learning models for drug responses in patient derived cell culture. NPJ Precision Oncology, 9, 180. ISSN 2397-768X
Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment Abdel-Rehim, Abbi; Zenil, HectorORCID logo; Orhobor, Oghenejokpeme I.; Fisher, Marie; Collins, Ross J.; Bourne, Elizabeth; Fearnley, Gareth W.; Tate, Emma; Smith, Holly X.; Soldatova, Larisa N ORCID logo ; and +1 more...King, Ross D.ORCID logo . 2025. Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment. Journal of The Royal Society Interface, 22(227), 20240674. ISSN 1742-5689
Imbalanced regression using regressor-classifier ensembles Orhobor, Oghenejokpeme I.ORCID logo; Grinberg, Nastasiya F.; Soldatova, Larisa N ORCID logo ; and King, Ross D.. 2024. Imbalanced regression using regressor-classifier ensembles. Machine Learning, 112(4), pp. 1365-1387. ISSN 0885-6125

Testing the reproducibility and robustness of the cancer biology literature by robot Roper, Katherine; Abdel-Rehim, Abbi; Hubbard, Sonya; Carpenter, Martin; Rzhetsky, Andrey; Soldatova, Larisa N ORCID logo ; and King, Ross D.ORCID logo. 2022. Testing the reproducibility and robustness of the cancer biology literature by robot. Journal of The Royal Society Interface, 19(189), 20210821. ISSN 1742-5689
Transformational machine learning: Learning how to learn from many related scientific problems Olier, Ivan; Orhobor, Oghenejokpeme I.; Dash, Tirtharaj; Davis, Andy M.; Soldatova, Larisa N ORCID logo ; Vanschoren, Joaquin; and King, Ross D.. 2021. Transformational machine learning: Learning how to learn from many related scientific problems. Proceedings of the National Academy of Sciences, 118(49), e2108013118. ISSN 0027-8424
NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding Wang, Kanix; Stevens, Robert; Alachram, Halima; Li, Yu; Soldatova, Larisa N ORCID logo ; King, Ross; Ananiadou, Sophia; Schoene, Annika M.; Li, Maolin; Christopoulou, Fenia; +15 more...Ambite, José Luis; Matthew, Joel; Garg, Sahil; Hermjakob, Ulf; Marcu, Daniel; Sheng, Emily; Beißbarth, Tim; Wingender, Edgar; Galstyan, Aram; Gao, Xin; Chambers, Brendan; Pan, Weidi; Khomtchouk, Bohdan B.; Evans, James A.; and Rzhetsky, Andrey. 2021. NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding. npj Systems Biology and Applications, 7(1), 38. ISSN 2056-7189
Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast Coutant, Anthony; Roper, Katherine; Trejo-Banos, Daniel; Bouthinon, Dominique; Carpenter, Martin; Grzebyta, Jacek; Santini, Guillaume; Soldano, Henry; Elati, Mohamed; Ramon, Jan; +3 more...Rouveirol, Celine; Soldatova, Larisa N ORCID logo ; and King, Ross D.. 2019. Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast. Proceedings of the National Academy of Sciences, 116(36), pp. 18142-18147. ISSN 0027-8424
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery Olier, Ivan; Sadawi, Noureddin; Bickerton, G. Richard; Vanschoren, Joaquin; Grosan, Crina; Soldatova, Larisa N ORCID logo ; and King, Ross D.. 2018. Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Machine Learning, 107(1), pp. 285-311. ISSN 0885-6125
The Ontology for Biomedical Investigations Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; +34 more...Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N ORCID logo ; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L; and Zheng, Jie. 2016. The Ontology for Biomedical Investigations. PLoS ONE, 11(4), e0154556. ISSN 1932-6203
Generic ontology of datatypes Panov, Panče; Soldatova, Larisa N ORCID logo ; and Džeroski, Sašo. 2016. Generic ontology of datatypes. Information Sciences, 329, pp. 900-920. ISSN 0020-0255
SBOL Visual: A Graphical Language for Genetic Designs Quinn, Jacqueline Y; Cox, Robert Sidney; Adler, Aaron; Beal, Jacob; Bhatia, Swapnil; Cai, Yizhi; Chen, Joanna; Clancy, Kevin; Galdzicki, Michal; Hillson, Nathan J; +12 more...Le Novère, Nicolas; Maheshwari, Akshay J; McLaughlin, James Alastair; Myers, Chris J; P, Umesh; Pocock, Matthew; Rodriguez, Cesar; Soldatova, Larisa N ORCID logo ; Stan, Guy-Bart V; Swainston, Neil; Wipat, Anil; and Sauro, Herbert M. 2015. SBOL Visual: A Graphical Language for Genetic Designs. PLoS Biology, 13(12), e1002310. ISSN 1544-9173
Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases Williams, Kevin; Bilsland, Elizabeth; Sparkes, Andrew; Aubrey, Wayne; Young, Michael; Soldatova, Larisa N ORCID logo ; De Grave, Kurt; Ramon, Jan; de Clare, Michaela; Sirawaraporn, Worachart; +2 more...Oliver, Stephen G; and King, Ross D. 2015. Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases. Journal of the Royal Society, Interface, 12(104), 20141289. ISSN 1742-5662
EXACT2: the semantics of biomedical protocols. Soldatova, Larisa N ORCID logo ; Nadis, Daniel; King, Ross D; Basu, Piyali S; Haddi, Emma; Baumlé, Véronique; Saunders, Nigel J; Marwan, Wolfgang; and Rudkin, Brian B. 2014. EXACT2: the semantics of biomedical protocols. BMC bioinformatics, 15 Sup, S5. ISSN 1471-2105

Conference or Workshop Item

A Cognitive Theoretical Approach of Rhetorical News Analysis Sami, Ishrat ; Russell-Rose, Tony ORCID logo ; and Soldatova, Larisa N ORCID logo . 2023. 'A Cognitive Theoretical Approach of Rhetorical News Analysis'. In: Text2Story - Sixth Workshop on Narrative Extraction from Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023). Dublin, Ireland 2 April 2023.
Comprehensive contextual visualization of a news archive for aiding story planning Sami, Ishrat ORCID logo ; Russell-Rose, Tony ORCID logo ; and Soldatova, Larisa N ORCID logo . 2022. 'Comprehensive contextual visualization of a news archive for aiding story planning'. In: Text2Story 2022. Stavanger, Norway 10 April 2022.
Comprehensive Terms Board Visualization for News Analysis and Editorial Story Planning Sami, Ishrat ; Russell-Rose, Tony ORCID logo ; and Soldatova, Larisa N ORCID logo . 2022. 'Comprehensive Terms Board Visualization for News Analysis and Editorial Story Planning'. In: Text2Story - Sixth Workshop on Narrative Extraction from Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023). Dublin, Ireland 2 April 2023.

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