Dr Maciej Trzaskowski
Dr

Maciej Trzaskowski

Email: 

Background

Dr Trzaskowski is Head of Research at Max Kelsen, providing supervision to 10 researchers and machine learning engineers, as well as 3 PhD students and 2 postdocs. He also holds a position of a visiting scientist at QIMR Berghofer Medical Research Institute and is an Associate Investigator at the ARC Centre of Excellence for Information Resilience (The University of Queensland) as well as the ARC Centre of Excellence for Automated Decision-Making and Society. He previously held the title of The British Academy Fellow aiming to improve utilisation of polygenic risk prediction in large population samples. He also underwent extensive training in a variety of Artificial Intelligence techniques such as Machine Learning and Multi-Agent Systems, with a specific focus on Agent Based Modelling, at University of Washington, Seattle, as well, as at the Department of Mathematics and Engineering, King's College London.

Availability

Dr Maciej Trzaskowski is:
Available for supervision

Qualifications

  • PhD in Statistical Genetics, University of London

Research impacts

My lab at Max Kelsen delivered ML-trained, RNA-based assay for detection of primary in cancer of unknown primary, which is currently trialed by QLD Health, SA and NT Pathology. We are also working on similar solutions for immunotherapy outcomes prediction and AI-aided pathways for discovery of novel cancer treatments. H-index: 40, citations: 9,127.

Search Professor Maciej Trzaskowski’s works on UQ eSpace

80 works between 2011 and 2024
All (80) Journal Article (74) Conference Publication (6)

1 - 20 of 80 works

2024

Conference Publication

Manifold integrated gradients: Riemannian geometry for feature attribution

Zaher, Eslam, Trzaskowski, Maciej, Nguyen, Quan and Roosta, Fred (2024). Manifold integrated gradients: Riemannian geometry for feature attribution. International Conference on Machine Learning, Vienna, Austria, 21-27 July 2024. Proceedings of Machine Learning Research.

Manifold integrated gradients: Riemannian geometry for feature attribution

2023

Journal Article

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

Docherty, Anna R., Mullins, Niamh, Ashley-Koch, Allison E., Qin, Xuejun, Coleman, Jonathan R.I., Shabalin, Andrey, Kang, JooEun, Murnyak, Balasz, Wendt, Frank, Adams, Mark, Campos, Adrian I., DiBlasi, Emily, Fullerton, Janice M., Kranzler, Henry R., Bakian, Amanda V., Monson, Eric T., Rentería, Miguel E., Walss-Bass, Consuelo, Andreassen, Ole A., Behera, Chittaranjan, Bulik, Cynthia M., Edenberg, Howard J., Kessler, Ronald C., Mann, J. John, Nurnberger, John I., Pistis, Giorgio, Streit, Fabian, Ursano, Robert J., Polimanti, Renato ... German Borderline Genomics Consortium (2023). GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors. American Journal of Psychiatry, 180 (10), 723-738. doi: 10.1176/appi.ajp.21121266

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

2023

Journal Article

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, Samual, Foley, Helena, Yap, Melvyn, Johnston, Rebecca L., Steven, Kaiah, Koufariotis, Lambros T., Sharma, Sowmya, Wood, Scott, Addala, Venkateswar, Pearson, John V., Roosta, Fred, Waddell, Nicola, Kondrashova, Olga and Trzaskowski, Maciej (2023). Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology. Scientific Reports, 13 (1) 7395, 1-14. doi: 10.1038/s41598-023-31126-5

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

2022

Journal Article

Identifying the Common Genetic Basis of Antidepressant Response

Pain, Oliver, Hodgson, Karen, Trubetskoy, Vassily, Ripke, Stephan, Marshe, Victoria S., Adams, Mark J., Byrne, Enda M., Campos, Adrian I., Carrillo-Roa, Tania, Cattaneo, Annamaria, Als, Thomas D., Souery, Daniel, Dernovsek, Mojca Z., Fabbri, Chiara, Hayward, Caroline, Henigsberg, Neven, Hauser, Joanna, Kennedy, James L., Lenze, Eric J., Lewis, Glyn, Müller, Daniel J., Martin, Nicholas G., Mulsant, Benoit H., Mors, Ole, Perroud, Nader, Porteous, David J., Rentería, Miguel E., Reynolds, Charles F., Rietschel, Marcella ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2022). Identifying the Common Genetic Basis of Antidepressant Response. Biological Psychiatry Global Open Science, 2 (2), 115-126. doi: 10.1016/j.bpsgos.2021.07.008

Identifying the Common Genetic Basis of Antidepressant Response

2022

Journal Article

Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors

Mullins, Niamh, Kang, JooEun, Campos, Adrian I., Coleman, Jonathan R I, Edwards, Alexis C., Galfalvy, Hanga, Levey, Daniel F., Lori, Adriana, Shabalin, Andrey, Starnawska, Anna, Su, Mei-Hsin, Watson, Hunna J., Adams, Mark, Awasthi, Swapnil, Gandal, Michael, Hafferty, Jonathan D., Hishimoto, Akitoyo, Kim, Minsoo, Okazaki, Satoshi, Otsuka, Ikuo, Ripke, Stephan, Ware, Erin B., Bergen, Andrew W., Berrettini, Wade H., Bohus, Martin, Brandt, Harry, Chang, Xiao, Chen, Wei J., Chen, Hsi-Chung ... Ruderfer, Douglas M. (2022). Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors. Biological Psychiatry, 91 (3), 313-327. doi: 10.1016/j.biopsych.2021.05.029

Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors

2021

Journal Article

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA

Han, Xikun, Steven, Kaiah, Qassim, Ayub, Marshall, Henry N., Bean, Cameron, Tremeer, Michael, An, Jiyuan, Siggs, Owen M., Gharahkhani, Puya, Craig, Jamie E., Hewitt, Alex W., Trzaskowski, Maciej and MacGregor, Stuart (2021). Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA. The American Journal of Human Genetics, 108 (7), 1204-1216. doi: 10.1016/j.ajhg.2021.05.005

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA

2021

Journal Article

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

Yap, Chloe X., Alvares, Gail A., Henders, Anjali K., Lin, Tian, Wallace, Leanne, Farrelly, Alaina, McLaren, Tiana, Berry, Jolene, Vinkhuyzen, Anna A. E., Trzaskowski, Maciej, Zeng, Jian, Yang, Yuanhao, Cleary, Dominique, Grove, Rachel, Hafekost, Claire, Harun, Alexis, Holdsworth, Helen, Jellett, Rachel, Khan, Feroza, Lawson, Lauren, Leslie, Jodie, Levis Frenk, Mira, Masi, Anne, Mathew, Nisha E., Muniandy, Melanie, Nothard, Michaela, Visscher, Peter M., Dawson, Paul A., Dissanayake, Cheryl ... Gratten, Jacob (2021). Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank. Molecular Autism, 12 (1) 12, 12. doi: 10.1186/s13229-020-00407-5

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

2021

Journal Article

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

Yap, Melvyn, Johnston, Rebecca L., Foley, Helena, MacDonald, Samual, Kondrashova, Olga, Tran, Khoa A., Nones, Katia, Koufariotis, Lambros T., Bean, Cameron, Pearson, John V., Trzaskowski, Maciej and Waddell, Nicola (2021). Verifying explainability of a deep learning tissue classifier trained on RNA-seq data. Scientific Reports, 11 (1) 2641. doi: 10.1038/s41598-021-81773-9

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

2020

Journal Article

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

Shen, Xueyi, Howard, David M., Adams, Mark J., Hill, W. David, Clarke, Toni-Kim, Adams, Mark J., Clarke, Toni-Kim, McIntosh, Andrew M., Deary, Ian J., Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Agerbo, Esben, Air, Tracy M., Andlauer, Till F. M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard ... McIntosh, Andrew M. (2020). A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank. Nature Communications, 11 (1) 2301. doi: 10.1038/s41467-020-16022-0

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

2020

Journal Article

Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits

Niarchou, Maria, Byrne, Enda M., Trzaskowski, Maciej, Sidorenko, Julia, Kemper, Kathryn E., McGrath, John J., O’ Donovan, Michael C., Owen, Michael J. and Wray, Naomi R. (2020). Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits. Translational Psychiatry, 10 (1) 51, 1-11. doi: 10.1038/s41398-020-0688-y

Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits

2020

Journal Article

Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Coleman, Jonathan R. I., Peyrot, Wouter J., Purves, Kirstin L., Davis, Katrina A. S., Rayner, Christopher, Choi, Shing Wan, Hübel, Christopher, Gaspar, Héléna A., Kan, Carol, Van der Auwera, Sandra, Adams, Mark James, Lyall, Donald M., Choi, Karmel W., Dunn, Erin C., Vassos, Evangelos, Danese, Andrea, Maughan, Barbara, Grabe, Hans J., Lewis, Cathryn M., O’Reilly, Paul F., McIntosh, Andrew M., Smith, Daniel J., Wray, Naomi R., Hotopf, Matthew, Eley, Thalia C., Breen, Gerome, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Trzaskowski, Maciej, Byrne, Enda M. ... Middeldorp, Christel M. (2020). Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank. Molecular Psychiatry, 25 (7), 1430-1446. doi: 10.1038/s41380-019-0546-6

Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

2019

Journal Article

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Czamara, Darina, Eraslan, Gökçen, Page, Christian M., Lahti, Jari, Lahti-Pulkkinen, Marius, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M., Reynolds, Rebecca M., Nystad, Wenche, Håberg, Siri E., London, Stephanie J., O’Donnell, Kieran J., Garg, Elika, Meaney, Michael J., Entringer, Sonja, Wadhwa, Pathik D., Buss, Claudia, Jones, Meaghan J., Lin, David T. S., MacIsaac, Julie L., Kobor, Michael S., Koen, Nastassja, Zar, Heather J., Koenen, Karestan C., Dalvie, Shareefa, Stein, Dan J., Kondofersky, Ivan ... Binder, Elisabeth B. (2019). Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nature Communications, 10 (1) 2548. doi: 10.1038/s41467-019-10461-0

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

2019

Journal Article

1,25-Dihydroxyvitamin D modulates L-type voltage-gated calcium channels in a subset of neurons in the developing mouse prefrontal cortex

Gooch, Helen, Cui, Xiaoying, Anggono, Victor, Trzaskowski, Maciej, Tan, Men Chee, Eyles, Darryl W., Burne, Thomas H. J., Jang, Se Eun, Mattheisen, Manuel, Hougaard, David M., Pedersen, Bent Nørgaard, Cohen, Arieh, Mortensen, Preben B., Sah, Pankaj and McGrath, John J. (2019). 1,25-Dihydroxyvitamin D modulates L-type voltage-gated calcium channels in a subset of neurons in the developing mouse prefrontal cortex. Translational Psychiatry, 9 (1) 281, 281. doi: 10.1038/s41398-019-0626-z

1,25-Dihydroxyvitamin D modulates L-type voltage-gated calcium channels in a subset of neurons in the developing mouse prefrontal cortex

2019

Journal Article

Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression

Glanville, Kylie P., Coleman, Jonathan R. I., Hanscombe, Ken B., Euesden, Jack, Choi, Shing Wan, Purves, Kirstin L., Breen, Gerome, Air, Tracy M., Andlauer, Till F. M., Baune, Bernhard T., Binder, Elisabeth B., Blackwood, Douglas H. R., Boomsma, Dorret I., Buttenschøn, Henriette N., Colodro-Conde, Lucía, Dannlowski, Udo, Direk, Nese, Dunn, Erin C., Forstner, Andreas J., de Geus, Eco J. C., Grabe, Hans J., Hamilton, Steven P., Jones, Ian, Jones, Lisa A., Knowles, James A., Kutalik, Zoltán, Levinson, Douglas F., Lewis, Glyn, Lind, Penelope A. ... Børglum, Anders D. (2019). Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression. Biological Psychiatry, 87 (5), 419-430. doi: 10.1016/j.biopsych.2019.06.031

Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression

2019

Journal Article

GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores

Mullins, Niamh, Bigdeli, Tim B., Børglum, Anders D., Coleman, Jonathan R.I., Demontis, Ditte, Mehta, Divya, Power, Robert A., Ripke, Stephan, Stahl, Eli A., Starnawska, Anna, Anjorin, Adebayo, Corvin, Aiden, Sanders, Alan R., Forstner, Andreas J., Reif, Andreas, Koller, Anna C., Tkowska, Beata Swia, Baune, Bernhard T., Müller-Myhsok, Bertram, Penninx, Brenda W.J.H., Pato, Carlos, Zai, Clement, Rujescu, Dan, Hougaard, David M., Quested, Digby, Levinson, Douglas F., Binder, Elisabeth B., Byrne, Enda M., Agerbo, Esben ... Lewis, Cathryn M. (2019). GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores. American Journal of Psychiatry, 176 (8), 651-660. doi: 10.1176/appi.ajp.2019.18080957

GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores

2019

Journal Article

Genome-wide association study identifies 30 loci associated with bipolar disorder

Stahl, Eli A., Breen, Gerome, Forstner, Andreas J., McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan R. I., Gaspar, Héléna A., de Leeuw, Christiaan A., Steinberg, Stacy, Pavlides, Jennifer M. Whitehead, Trzaskowski, Maciej, Byrne, Enda M., Pers, Tune H., Holmans, Peter A., Richards, Alexander L., Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D., Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A., Bækvad-Hansen, Marie ... Sklar, Pamela (2019). Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51 (5), 793-803. doi: 10.1038/s41588-019-0397-8

Genome-wide association study identifies 30 loci associated with bipolar disorder

2019

Journal Article

Assessment of bidirectional relationships between physical activity and depression among adults A 2-Sample mendelian randomization study

Choi, Karmel W., Chen, Chia-Yen, Stein, Murray B., Klimentidis, Yann C., Wang, Min-Jung, Koenen, Karestan C., Smoller, Jordan W., Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, TracyM., Andlauer, Till F. M., Bacanu, Silviu-Alin, Baekvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Binder, Elisabeth B., Blackwood, Douglas H. R., Bryois, Julien, Buttenschon, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Hvarregaard, Jane ... Sullivan, Patrick F. (2019). Assessment of bidirectional relationships between physical activity and depression among adults A 2-Sample mendelian randomization study. JAMA Psychiatry, 76 (4), 399-408. doi: 10.1001/jamapsychiatry.2018.4175

Assessment of bidirectional relationships between physical activity and depression among adults A 2-Sample mendelian randomization study

2019

Journal Article

Identification of common genetic risk variants for autism spectrum disorder

Grove, Jakob, Ripke, Stephan, Als, Thomas D., Mattheisen, Manuel, Walters, Raymond K., Won, Hyejung, Pallesen, Jonatan, Agerbo, Esben, Andreassen, Ole A., Anney, Richard, Awashti, Swapnil, Belliveau, Rich, Bettella, Francesco, Buxbaum, Joseph D., Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Cerrato, Felecia, Chambert, Kimberly, Christensen, Jane H., Churchhouse, Claire, Dellenvall, Karin, Demontis, Ditte, De Rubeis, Silvia, Devlin, Bernie, Djurovic, Srdjan, Dumont, Ashley L., Goldstein, Jacqueline I., Hansen, Christine S., Hauberg, Mads Engel ... Børglum, Anders D. (2019). Identification of common genetic risk variants for autism spectrum disorder. Nature Genetics, 51 (3), 431-444. doi: 10.1038/s41588-019-0344-8

Identification of common genetic risk variants for autism spectrum disorder

2019

Journal Article

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Howard, David M., Adams, Mark J., Clarke, Toni-Kim, Hafferty, Jonathan D., Gibson, Jude, Shirali, Masoud, Coleman, Jonathan R. I., Hagenaars, Saskia P., Ward, Joey, Wigmore, Eleanor M., Alloza, Clara, Shen, Xueyi, Barbu, Miruna C., Xu, Eileen Y., Whalley, Heather C., Marioni, Riccardo E., Porteous, David J., Davies, Gail, Deary, Ian J., Hemani, Gibran, Berger, Klaus, Teismann, Henning, Rawal, Rajesh, Arolt, Volker, Baune, Bernhard T., Dannlowski, Udo, Domschke, Katharina, Tian, Chao, Hinds, David A. ... McIntosh, Andrew M. (2019). Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, 22 (3), 343-352. doi: 10.1038/s41593-018-0326-7

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

2019

Journal Article

Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder

Trzaskowski, Maciej, Mehta, Divya, Peyrot, Wouter J., Hawkes, David, Davies, Daniel, Howard, David M., Kemper, Kathryn E., Sidorenko, Julia, Maier, Robert, Ripke, Stephan, Mattheisen, Manuel, Baune, Bernhard T., Grabe, Hans J., Heath, Andrew C., Jones, Lisa, Jones, Ian, Madden, Pamela A.F., McIntosh, Andrew M., Breen, Gerome, Lewis, Cathryn M., Børglum, Anders D., Sullivan, Patrick F., Martin, Nicholas G., Kendler, Kenneth S., Levinson, Douglas F. and Wray, Naomi R. (2019). Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 180 (6), 439-447. doi: 10.1002/ajmg.b.32713

Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder

Availability

Dr Maciej Trzaskowski is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Harness artificial intelligence to predict glaucoma risk using eye imaging and genetic data

    Associate Advisor

  • Doctor Philosophy

    Interpretable AI-Theory and Practice

    Associate Advisor

    Other advisors: Dr Quan Nguyen, Professor Fred Roosta

Completed supervision

Enquiries

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